What is an AI prompt? Understanding AI prompts What is an AI prompt? 🤖 AI prompts are natural language inputs that are used to train and test AI models.🤖 They help AI understand human language and improve its ability to respond to natural language queries. Why are we talking about this? 🤖 AI prompts are the key to making AI more human-like and able to understand and respond to natural language inputs.🤖 This is crucial for the development of AI-powered personal assistants, chatbots, and other applications. Where are AI prompts used? [1/2] 1️⃣ Automating repetitive tasks 2️⃣ Automatically sending messages and notifications 3️⃣ Responding to customer inquiries4️⃣ Generating personalized recommendations Where are AI prompts used? [2/2] 5️⃣ Analyzing customer feedback and enhancing customer experience6️⃣ Managing surveys and polls7️⃣ Automating sales and marketing processesetc.. AI prompts and the future of work AI prompts and the future of work Why is it important for your career to understand AI prompt? To ensure faster processing of tasks. To stay competitive in the job market. To reduce the costs associated with manual labor. To provide employees with better access to information. AI prompts and the future of work [1/2] Understanding AI prompts is essential for anyone working in the field of AI to develop and maintain effective and efficient AI systems.🚀 To train and test the models, and improve their performance.🚀 To understand how AI prompts can affect the performance of the AI systems. AI prompts and the future of work [1/2] Understanding AI prompts is also important for non-tech professionals because they are becoming increasingly prevalent in many different areas.🚀 AI systems are being used to automate tasks, improve decision-making, and enhance customer service.🚀 Understanding AI prompts will help in making informed decisions about the use of AI in their organization. AI prompt engineering 🚀 AI prompt engineers are responsible for designing, developing, and optimizing AI prompts for use in training and testing AI models.🚀 This can include creating natural language inputs that are used to train models, as well as evaluating and improving the performance of AI models. Becoming an AI prompt engineer AI prompt engineering requires :🚀 a strong background in AI and natural language processing (NLP),🚀 experience in programming and data analysis,🚀 a deep understanding of the nuances of human language, including grammar, syntax, and semantics,🚀 an understanding of the technical details of how AI models work. Future of AI prompt engineering 🚀 This role includes working closely with data scientists and other AI professionals to develop and implement AI systems.🚀 As the field of AI continues to evolve and grow, the demand for AI prompt engineers is likely to increase, creating opportunities for professionals with the right skills and experience. Writing a good AI prompt Writing a good AI prompt Scope of the prompt 💡 It should be specific enough to guide the model towards a certain output, but broad enough to allow for multiple potential answers. Ease of understanding 💡 It should be easy to understand and free of ambiguity so that the model can accurately interpret and provide the best output. Context setting 💡 It should provide a scenario, a background, or a context for the model to generate a more coherent and relevant response. Choice of language 💡 While writing the prompt, you should avoid potentially offensive or harmful content.💡 You should choose a language and tone that is appropriate for the intended audience and the task. Format of the prompt 💡 It should be easy to read and understand, and it should be consistent with the way the model is being used (chat-based or command-line interface) Test, tweak & repeat 💡 Once you're done, don't forget to test the prompt with the model to check if it produces the expected responses.💡 If needed, tweak the prompt and repeat the whole procedure till you're satisfied.

Are you ready to work in an economy powered by web3 and other new technology, like AI, ML, NLP, etc?

Web3 & New Tech

#8a0274

AI Prompts

Introduction Podcasts and Vib3s What is Vib3s? Vib3s is a game changer platform that makes podcast recording and audio post- production super easy. How does it work? 🎙️ No need to be an audio engineer to create a quality podcast with our online platform.🎙️ Prepare the structure of your podcast,🎙️ Record it (locally or remotely),🎙️ Enhance it with our automatic filters,🎙️Shape it in your own way! Where do I start? Before starting you should ask yourself 5 questions:🎙️ Who are you trying to reach ?🎙️What content ?🎙️ What positioning ?🎙️ What format ?🎙️ What duration ? Audience Audience Who are you trying to reach? Know your targeted audience beforechoosing a subject.👉Who are they ?👉 Do they listen to podcasts?👉 What do they care about?👉 What are their concerns? What is the best way to understand your potential audience? Ask potential listeners to take a survey. Have a live discussion with listeners. Track listener engagement with data. Conduct polls for your listeners polls. Content Content What content should you choose? Chose a content that match:👉 Your target interest (to be listen)AND👉 Your interest (to stay motivated) What is the top criterion when planning content? Latest news in the world. Good sound & production quality Relevant and engaging content. Dependable and consistent hosts. Positioning Positioning How does your podcast stand out? There are probably dozens of podcasts talking about the same subject already ...…so be different! 😉 Choosing a position for your podcast 1️⃣ Brainstorm potential ideas2️⃣ Craft a clear and engaging message3️⃣ Research your niche and angle.4️⃣ Use content that appeals to your audience How can you establish your podcasts's position? By creating conversations that challenge. By staying up-to-date on the latest news, By delivering unique and inspiring stories. By offering lots of insights and advice. Format Format What format should you choose for for podcast? Chose a format that fits with yourcontent:👉 Interviews (prepared, spontaneaous)👉 Narrative,👉 Investigation,👉 FictionThere are many possibilities. Choose wisely! Identify the narrative format among these podcasts. Speaking in first-person monologue style. Discussing a topic with a group of people. Reading out a script you've written. Painting a picture of the situation through interviews Duration Duration How long should your podcast be? Choose a duration that fits with youraudience available time...…and which also allows you to go deepenough in your subject!⏰ Best practice: 10 to 20 minutes. Factors to decide the length of your podcast 1️⃣ Quality and complexity of content2️⃣ Time availability of your audience3️⃣ Frequency of the episodes4️⃣ Clarity and brevity of the points discussed5️⃣ Audio and production value Kick-start your podcast journey. You know nothing about podcasting but want to be the next Joe Rogan?Join us and you will only be few clicks away from your own high quality podcast: Vib3s

Do you have the skills to promote your brand in the highly competitive market of the new economy?

Marketing & Content

#034c67

Starting a Podcast

What is Project Management? What is Project Management? Project management is the use of specific knowledge, skills, tools and techniques to deliver something of value to people.- pmi.org Going beyond the definition. 👉Managing any project to deliver the defined scope of work for an estimated cost in a specified time period with a certain quality standard is called Project Management. What's a project? What's a project? A project is... 👉 A single task or a group of interlinked activities leading to some tangible output.👉 Temporary, and has a definite start and end.👉 Can include:The construction of a HouseOrganizing an eventPublishing a bookDeveloping a software…. What isn't a project? Operations Operations aren't projects. They are... 👉 A set of repetitive tasks or activities.👉 That follow a structured execution approach using standard operating procedures.👉 Can include:Food Delivery ServiceAssembly-line Manufacturingetc …. Projects v/s Operations 👉 A project is temporary; Operations are continuous👉 A project has a definite beginning and a definite end; Operations are ongoing.👉A project may be followed by operations, such as support and maintenance. Triple Constraints Triple Constraints & Project Management What are the Triple Constraints? Every project is bound by some limits:⚠️ Scope of work⚠️ Time or duration⚠️ Cost of the projectAll of this has an impact on:⚠️ Quality of project Why is it important to know the Triple Constraints? Among the triple constraints, changing one of them has an impact on at least one of the other two.For example, if you want to increase the features in a software, the project duration might change along with the cost of extra efforts or the extra resources involved. Which of the following is an example of how the triple constraints can help ensure successful project delivery? By setting a clear deadline for project completion. By closely monitoring project expenses. By establishing clear quality standards. A combination of all factors. Explanation... 💡 A clear deadline ensures that the project is delivered on time.💡 Monitoring project expenses ensures that budgets are respected.💡 And by establishing clear quality standards ensures that the project meets the customer's expectations.The completion of the project to the satisfaction of all stakeholders depends on all factors.. Scope of Work 👉 Every project must have a well-defined scope of work i.e. all the work required to fulfill the project goals or objectives.👉 When the scope of work is defined well enough, it is possible to give a cost and time estimate with higher precision. Cost of the project 👉 Project cost is the sum total of all the expenses incurred in completing a project.👉 It includes the cost of all the materials and resources used in the project, ranging from remuneration of employees &amp; contractors to housekeeping supplies! Time / Duration of the project 👉 Every Project must follow a schedule with a finite start date and an end date.👉 This timeline is arrived at by estimating task duration of all the sequential tasks and activities required to complete a project. Quality of the project 👉 The end goal of a project is to derive value from the project. It must meet and qualify certain quality standards and benchmarks.👉 The qualifying quality parameters are included in the Project Acceptance Criteria. Which constraint would have to be adjusted in order to complete a construction project on time, within budget, and to the required level of quality? The number of workers on the project The materials used in the project The design of the building A combination of all factors cited. Explanation In order to complete a construction project on time, within budget, and to the required level of quality, the project manager may need to adjust the number of workers, the materials used, and the design of the building.All of these elements are interrelated and can impact the overall success of the project. Principles of Project Management 12 Principles of Project Management What are the 12 Principles of Project Management? What are the primary principles of Project Management? 1️⃣ Define project goals and objectives2️⃣ Establish project resources3️⃣ Develop a detailed project plan4️⃣ Allocate project responsibilities5️⃣ Monitor project progress6️⃣ Evaluate results and performance7️⃣ Risk management8️⃣ Adapt and adjust project plans9️⃣ Communication management 12 Principles of Project Management according to the 7th Edition of the Project Management Body of Knowledge (PMBOK) Stewardship Be a diligent, respectful, and caring steward and carry out the activities with integrity to maintain compliance with all guidelines. Team Create a collaborative project team environment, encouraging diverse skills, knowledge, and experience. Stakeholders Engage all stakeholders effectively in order to ensure project success and customer satisfaction. Value It is important to evaluate and adjust project alignment to business objectives and deliver value in addition to managing the Triple Constraints. System Thinking Recognize, evaluate, and respond to system interactions and circumstances around the project in a holistic way to positively affect project performance. Leadership Demonstrate and adopt leadership characteristics to ensure positive outcomes and project success.** Leadership is different from authority. Tailor based on context It is important to consider the context of the project, its objectives, stakeholders, governance, and the environment using "just enough" process and tailor the project execution in order to ensure its success. Quality Build quality into processes and deliverables in order to meet project objectives and align to the needs, uses, and acceptance requirements of all the stakeholders. Complexity It is important to constantly evaluate and navigate complexities that arise during the life cycle of a project. Optimize Risk Responses Constantly evaluate and optimize exposure to risk, (opportunities and threats), to maximize positive impacts and minimize negative impacts on the project. Adaptability and Resilience Build a culture of adaptability and resilience to allow the team to handle changes, recover from setbacks, and continue to advance on the project. Change Enable change to achieve the envisioned future state by preparing all stakeholders for the adoption and sustaining of new and different behaviors and processes. Which of the following is NOT one of the 12 Principles of Project Management as outlined in the 7th edition of the PMBOK guide? Defining and managing project scope Creating a project schedule and budget Identifying and managing project risks Planning a team building retreat What is the most important aspect of a leader's role in managing project risks? Which of the following attributes is needed to be successful in project management?

From design to project management, do you have the skills needed to create and build your own future?

Product Development

#045a4f

Project Management

Create a content creation schedule A plan is what, a schedule is when. It takes both a plan and a schedule to get things done.- Peter Turla Design your writing schedule Be very precise about your schedule:👉 What time you will create: morning, afternoon, evening…👉 How long you work: fifteen minutes, an hour, two hours…👉 Where you will create: in your journal, on Twitter, on your blog…👉 How often you will publish/post: every day, once a week, thrice a week… Here's an example... I will spend an hour every morning at 9 AM on Twitter, and update my blog every week, on Wednesday at 5:30 PM. Finding the right ideas Read absolutely everything you get your hands on because you’ll never know where you’ll get an idea from.- Malcolm X Focus on what you know Make a checklist of everything you've read and learnt over the last 2 years:📌 What skills have you developed?📌 What challenges have you overcome?📌 What hobbies have you picked up?📌 What topics have you learned about?Choose 3 topics from your list 👆 Fine-tune and develop your ideas. Dickie Bush of Ship 30 for 30 recommends the 4A Framework:📌 Actionable: here's how📌 Analytical: here's a breakdown📌 Aspirational: yes, you can!📌 Anthropological: here's whyChoose one approach 👆 Start creating... Once you've chosen a topic and picked one of the approaches from the 4A Framework, start writing:✍️ Tips and lessons✍️ Your experiences✍️ Inspirational quotes✍️ Pros and cons✍️ Mistakes to avoid✍️ Questions and answersetc… Start publishing Only put off until tomorrow what you are willing to die having left undone.- Pablo Picasso Choose a platform 🚀 Twitter posts / threads🚀 Visual content on Instagram🚀 Long form on Medium, Wordpress, or your personal blog/website.🚀 Podcasts (solo, conversational, interview)🚀 Short form (reels) or long form videos.etc… Start publishing Stop procrastinating, and set clear timelines to create content and publish based on a calendar.Hold yourself accountable to your goals. Conduct regular reviews of your progress.

✍️ Developing a content creation schedule

What is Generative AI? Let's get to know Generative AI better The Basics 🤖 Generative AI is a new type of AI that can create new things. It can be used to create new art, music, and even new technologies. It can also be used to create new AI systems.🤖 Generative AI is different from traditional AI in that it can create new things, rather than just solve problems. Multi-purpose applications 🤖 AI that can create something new, without being programmed to do so.🤖 Can be used for everything from music and art, to designing new products and services.🤖 Can also be used for more practical applications, like creating new algorithms or discovering patterns in data. Popular examples of Generative AI today [1/2] 🤖 Deepdream, a generative image recognition AI that creates psychedelic images.🤖 Google Magenta, an AI music composer.🤖 IBM Watson, a medical diagnosis AI that can generate thousands of hypotheses about a patient's condition. Popular examples of Generative AI today [2/2] 🤖 OpenAI, an AI research company that is developing generative agents.🤖 Siri, Alexa, and Cortana, voice assistants that are generative in the sense that they learn from their users' behavior. Different kinds of Generative AI [1/2] 🤖 Deep Generative Image Models: These models allow AI to create human-looking faces, images of famous landmarks, or realistic-sounding music.🤖 Deep Q-Network AI: These models allow AI to train themselves to play video games, by playing several thousand games simultaneously and learning from the results. Different kinds of Generative AI [2/2] 🤖 Sequence-to-Sequence AI: These models allow AI to translate sentences from one language to another, by predicting the most likely sentence in the new language.🤖 Reinforcement Learning: These models allow AI to learn how to perform a given task, by rewarding the AI when it performs well and punishing it when it performs badly. Large Language Models The tech behind Generative AI Large Language Model 🚀 A large language model is a language model with a vocabulary size larger than 10,000 words.🚀 These models are used in speech recognition, text-to-speech, machine translation, and some chatbots. What is an LLM? 💡 At its core, an LLM is a data structures that represents language in a probabilistic manner.💡 It allows AI agents to understand language by predicting the most likely sequence of words that a sentence could have. Vocabulary 🚀 The larger the vocabulary of the language model, the more accurate the model is, and the more applications it can be used for.🚀 There is no universally agreed-upon minimum size for a large language model, but 100,000 words is a good benchmark.🚀 The most common vocabulary sizes for large models are between 100,000 and 1,000,000 words. Impact of Generative AI So what's the Future of Generative AI? Applications of Generative AI 🚀 Creating new recipes, designing new buildings and products, etc.🚀 Optimising supply chains and logistics, predict outcomes, and even creating solutions to global problems like climate change.🚀 Making science and research more productive, by allowing scientists to generate new hypotheses and research solutions. Challenges in Generative AI research [1/2] As with any new technology, there are some challenges that need to be overcome before generative AI can be truly useful in the world:⚠️ Quality of generated data: Most generative AI systems use data sets that are not very large, which means that their outputs are not always very accurate. Challenges in Generative AI research [2/2] ⚠️ Understanding why a generator has produced certain outputs: It can be difficult to use generative AI in situations where precision and certainty are important.⚠️ Generative AI is extremely computationally expensive: Only a handful of organisations can afford to develop and train generative AI systems. Generative AI will need new kinds of employees who are comfortable with programming and data analytics, but also have creativity and problem-solving skills. So what's the future of jobs? ⭐️ Generative AI can be used to automate a large number of manual, labour intensive tasks. This will lead to a large number of job losses.⭐️ However, AI technologies can also be used to create new jobs. this will lead to an equal number of jobs created and lost. AI is only as good as the data it has available to learn from, so any regulation that protects people's data will also protect jobs. What kind of jobs will AI create? Generative AI will need new kinds of employees who are comfortable with programming and data analytics, but also have creativity and problem-solving skills. Examples of jobs AI will create 🚀 AI Trainers : train AI models to perform tasks.🚀 AI Explainers : provide explanations for the way AI models function.🚀 AI Sustainers : ensure that AI solutions are sustainable and ethical.💡 Learn more about these new roles here: AI for a sustainable future A more sustainable AI based future Job Security 👉 Over the past few decades, various movements, paradigms, or technology surges have sought to automate more of the software development process, leading to speculation that job security would be threatened.However it is unclear how their jobs will evolve. Programming and allied jobs 👉 Matt Welsh of Fixie.ai predicts that programming will become obsolete in the next decade, replaced by AI systems trained rather than programmed.👉 IT professionals and developers will be empowered to focus on more complex applications and automations. The big shift 👉 AI coding assistants such as CoPilot are beginning to scratch the surface of replacing programming with training models.👉 This shift away from coding could open up new ways of looking at application development, leading to more conceptual and high-level business roles. Point to consider What according to you, will be the future of work and roles in demand, based on what you have learnt so far in this course?

Towards a Sustainable Generative AI Revolution

What is story-telling? What is storytelling? What is storytelling? 📜 Storytelling is the art of creating a narrative that engages the audience and makes them want to know more. Isn't storytelling for children? 📌 While it is true that storytelling is a great way to engage children and help them develop their skills, it is an be equally beneficial for adults. Storytelling for adults 📌 Boosts listening and fosters creative thinking.📌 Increases empathy and helps understand others better.📌 Helps engage with others and establish a positive relationship. Storytelling & Marketing Importance of storytelling for businesses Brand building 🚀 It can help to make a brand or product more relatable and relatable to the audience.🚀 It can differentiate a brand from its competitors and make it more memorable. Lead generation 🚀 It can help to build trust and credibility with potential customers, leading to increased sales and customer loyalty. Building loyalty 🚀 It can build trust and credibility with potential customers.🚀 It can help to engage the audience in a more meaningful way and foster a sense of connection with the brand. Challenges of storytelling in marketing Time & money 👎 It can be time-consuming develop and execute a storytelling campaign.👎 It require a significant investment of resources to develop and execute a storytelling campaign. Tricky ROI 👎 If the story being told is not consistent with the brand it can create confusion.👎 The content may across as contrived or inauthentic, which can alienate the audience and damage a brand's reputation. Difficulty in measuring ROI 👎 It can be difficult to measure the effectiveness of storytelling in terms of tangible results, such as increased sales or customer loyalty. Mastering storytelling Storytelling framework 7-part framework A [HERO]Has a [PROBLEM]And meets a [GUIDE]Who gives them a [PLAN]That calls the hero to [ACTION]And helps them avoid [FAILURE]That ultimately ends in [SUCCESS 🦸Hero Who is the hero?It's usually the consumer/customer.Everything the company makes and sells is to make the hero's life better. ⚠️ Problem Businesses exist to solve problems.Every time a company tells a story, it should start with outlining the hero's problems and their impact on the hero's life if left unsolved. 🔦 Guide Who is the guide?If the hero is the customer, then the guide is…the business!As the problem solver, the business must build a good reputation, so that the hero can trust them. 💡 Plan The business now has to demonstrate their value as a guide by offering a plan (the solution).The plan should highlight the features &amp; benefits of the solution, how it can solve the hero's problems and why it is the best solution. 💪 Action Businesses have to think of smart ways to sell.The call to action (CTA) should attract the hero, and not raise any doubts.Ex. Free trial, often works better than buy now. 👎 Failure It's important to show the hero what could happen if they don't follow the plan.Businesses should be able to illustrate the potential loss/failure if the customer doesn't buy their solution. 🙌 Success Finally, once you've established how the hero can avoid pain, you have to present the solution.Businesses should be able to present the solution, and illustrate how it can transform (or at least improve) the customer's life. Pro-tips

Storytelling in Marketing

What is Inclusive Marketing? what is Inclusion? What is Inclusion? 🧑🏿‍🤝‍🧑🏿 Inclusion is the process of making sure that everyone has an equal opportunity to participate in and contribute to the activities of a group, organization, or community.🧑🏿‍🤝‍🧑🏿 It involves creating a safe and welcoming environment for everyone, regardless of their background, ethnicity, gender, sexual orientation, or other characteristics. Why are we talking about it? 🧑🏿‍🤝‍🧑🏿 Inclusion gives companies a competitive edge by ensuring employee engagement and empowerment.🧑🏿‍🤝‍🧑🏿 In an open and safe environment, employees are more likely to contribute, allowing companies to benefit from diverse range of perspectives and abilities. what is Inclusion Marketing? What is Inclusion Marketing? 🧑🏿‍🤝‍🧑🏿 Inclusion marketing is a marketing strategy that focuses on building a diverse and inclusive environment for all.🧑🏿‍🤝‍🧑🏿 This includes making sure that the products and services are accessible to all, and that the marketing is inclusive of all groups. Which sections of the society are we talking about? 🧑🏿‍🤝‍🧑🏿 A truly inclusive policy covers any section or community that feels marginalised due to their age, race, colour, gender, sexual preference, disabilities, etc. Inclusive Marketing v/s Advertising Inclusion 🧐 Inclusive marketing is the practice of creating products and services that are accessible to all people, regardless of their gender, sexual orientation, ethnicity, religion, or other factors.🧐 Advertising is the practice of creating and disseminating messages to promote inclusion practices among a target audience. Benefits of inclusive marketing 🧑🏽‍🤝‍🧑🏽 Shows awareness &amp; empathy.🧑🏽‍🤝‍🧑🏽 Build's your brand image &amp; reputation.🧑🏽‍🤝‍🧑🏽 Helps reach a wider &amp; more diverse audience.🧑🏽‍🤝‍🧑🏽 Helps build customer loyalty.🧑🏽‍🤝‍🧑🏽 Influences positive social change. Inclusive Marketing Strategies Inclusive Marketing Strategies Pillars of Inclusion 👉 Access👉 Diversify your team to include people from different communities.👉 Use images to reflect your diverse audience.👉 Build inclusivity into your written content as well.👉 Recreate content to reach a more diverse audience. Creating an inclusive marketing strategy 👉 Analyse your current marketing strategy to identify the gaps.👉 Diversify your team to include people from different communities.👉 Use images to reflect your diverse audience.👉 Build inclusivity into your written content as well.👉 Recreate content to reach a more diverse audience. Google's inclusive marketing playbook Nothing about us without us 🤔 Listen to the voices of the community and bring in their voices from the beginning, and not as an after-thought. This is especially advocated by those with disabilities Account for intersectionality 🤔 Brands should consider the full spectrum of markers that comprise identity, and avoid oversimplified stories.🤔 Nuanced narratives that include multi-dimensional identities is the best way to bridge gaps created by biased narratives. Inclusion is a mindset 🤔 Inclusion isn't a box to check on the list of best practices. It's an attitude that has to be developed and adapted with changes in socio-cultural norms, technology and all the other factors that impact humans. Pro-tips for Inclusive Marketing Pro-tips for inclusive marketing 🧓 Age 🧓 Avoid ageist terminology, like “seniors” or “the elderly.”🧓 Go beyond the cliches of old people as frail, sickly and dependant.🧓 Show old people handling technology and being active members of society.🧓 Don't forget intersectionality. Age doesn't rob people of their identities.🧓 Ageism can also impact young people. Avoid referring to younger audiences as “kids” or “inexperienced.” 🧑🏽‍🤝‍🧑🏽 Marginalised Communities 🧑🏽‍🤝‍🧑🏽 Consider historical facts and avoid perpetuating myths and cliches about marginalised communities.🧑🏽‍🤝‍🧑🏽 Avoid cultural appropriation and woke-washing.🧑🏽‍🤝‍🧑🏽 Show members of marginalised communities in different personal and professional background and socio-economic levels.🧑🏽‍🤝‍🧑🏽 Amplify their intersectional and multi-dimensional identities. 🏳️‍🌈 LGBTQ+ 🏳️‍🌈 Consider historical facts and avoid perpetuating myths and cliches about the LGBTQ+ community.🏳️‍🌈 Show members of the community in different personal and professional background and socio-economic levels.🏳️‍🌈 Go beyond “pink-washing” and “rainbow-washing” to represent real stories.🏳️‍🌈 Amplify their intersectional and multi-dimensional identities. 💪Disabled people Did you know that 1 billion people worldwide identify as disabled and are responsible for 8 trillion USD in spending?💪 In addition to acknowledging and avoiding stereotypes in the narratives, brands must also be aware of assistive tech that is being used by the disabled to access their content.💪 Intersectionality and stereotype-free representation is extremely important to reach and correct represent this diverse community. ➕ Plus-size people ➕ Acknowledge “anti-fatness” and the need for “fat activism” to increase awareness and acceptance of different body types.➕ Avoid fat-shaming in your narratives, visual and written content.➕ Validate all kinds of bodies, and avoid glorifying the diet culture.➕ Show plus-size people in different personal and professional background and socio-economic levels. 💰 Socio-economic status 💰 Consider all factors before portraying socio-economic status of any group.💰 Avoid portraying stereotyped SES or hierarchy based on behaviors, habits, lifestyles, or products associated with a certain SES.💰 Portray nuanced relationships between groups of different SES. 👩 Women 👩 Look beyond traditional gender roles, and avoid gender bias in narratives.👩 Reflect reality and portray women with a variety of skin tones, races or ethnicities, sexual orientations, abilities, ages, and body types and sizes.👩 Depict healthier versions of masculinity and men-women relationships.👩 Show women as confident, genuine, nuanced, flawed, taking risks, and doing cool things in realistic, believable scenarios.

Inclusive Marketing

Understanding multimedia content What is multimedia content? What is multimedia content? ✨ Multimedia content is any content that is created using a combination of text, images, audio, and video.✨ It can be used in many in websites, presentations, e-books, apps, games, videos, music, podcasts, etc… Different types of multimedia content 🎯 Text: articles, blogs, etc.🎯 Audio: music, podcasts, audio books, etc.🎯 Video: videos, podcasts, etc.🎯 Image: photos, images, etc.🎯 Interactive: games, apps, etc. Why are we talking about it? 🎯 Multimedia content is more engaging and interesting than plain text content, by taking advantage of different senses.🎯 It helps to create better relationships with customers by providing an interactive experience. Where is multimedia content being used? 👉 Advertising : print, radio, television, social media, display ads, mobile ads, etc.👉 Education: interactive modules, audio-video lessons, etc.👉 Gaming: integrated audio &amp; video effects👉 Science &amp; technology: embedding and transferring all kinds of content. Becoming a multimedia content creator Becoming a multimedia content creator What does a multimedia content creator do? 📌 Multi-media content creators create content that is designed to be consumed on multiple platforms. They can create content for websites, social media, and mobile apps.📌 They can create content for websites, social media, and mobile apps. Content creation skills 👉 Doing research on a wide variety of topics,👉 Creating content that is informative, entertaining and engaging,👉 Creating SEO friendly content,👉 Deep understanding of marketing requirements and sales funnels,👉 Ability to analyse data to strategise &amp; improve content pipeline. Developing multimedia content marketer skills 💪 Monitor and stay ahead of trends,💪 Develop a high learning agility,💪 Upgrade your skill set for the future of marketing,💪 Engage with other professionals in content marketing communities,💪 Master the latest digital tools and basic AI tech available for content creation. Pro-tips for multimedia content creators Pro-tips for multimedia content creators Explore long & short form content ✨ Adapt the length of your content to different audiences, messages and platforms. Keep it shorter for social media and a younger audience.✨ Though long form videos are popular among GenZ, short form videos are equally powerful for lead generation, Never underestimate the power of an image ✨ A picture can truly be worth a 100 words. From memes to infographics, images are a very powerful tool of communication and marketing. Unleash the power of audio ✨ Millions of people listen to podcasts everyday, making it a very powerful tool for marketing.✨ Webinars are very effective in lead generation and conversion, especially for B2B companies. Tap into the power of new technologies ✨ Countless platforms have emerged allowing people who lack technical training to create amazing content with basic digital skills.✨ Upskill and broaden your understanding of AI, and the range of AI-powered content creation tools launched recently.

Multi-media content creator

What are bio-plastics? What are bio-plastics? What are bio-plastics? 🚚 Bio-plastics are made from renewable resources, such as corn starch, sugar cane, and algae. They are biodegradable and can be recycled.🚚 They are made from plant-based materials, and are therefore considered to be more sustainable than conventional plastics. How are bio-plastics different from regular plastics? 💪 Plastic is made from petroleum, which is non-renewable and has a high carbon footprint.💪 Bio-plastics are made from renewable resources, but are not as durable as conventional plastics. History of bio-plastics 📗 In 1862, Alexander Parkes created Parkesine, the first man-made biobased plastic from cellulose. 📗 The first known bioplastic, polyhydroxybutyrate (PHB), was discovered in 1926 by a French researcher, Maurice Lemoigne, from his work with the bacterium Bacillus megaterium. Why are we talking about them? 💡 Bio-plastics offer the hope of replacing fossil-based plastics.💡 They are made from renewable resources, and can be used in a variety of applications, including packaging, food and drink containers, and building materials.💡 Bio-plastics are also more environmentally friendly than conventional plastics, as they do not contain harmful chemicals. Is there a business use-case for them? 💰 The global market for bio-plastics is expected to grow from $2.5 billion in 2018 to $6.5 billion by 2025, at a CAGR of 11.5% during the forecast period.💰 The industry is expected to reach $100 billion by 2025.💰 The industry is driven by the need to reduce the use of fossil fuels and the amount of waste that is produced. Bio-plastics and the environment Ecological impact of bio-plastics Advantages of bio-plastics 💚 Bio-plastics save fossil resources by using biomass which regenerates annually.💚 Production of bio-plastics has a lower carbon footprint, and provides the unique potential of carbon neutrality. Challenges of bio-plastics ⚠️ The production of bio-plastics has a significant impact on the environment. It requires large amounts of energy, water, and land.⚠️ The production of bio-plastics also has a significant impact on the environment by releasing greenhouse gases into the atmosphere. Disadvantages of bio-plastics 🚚 Unlike popular notions, bio-plastics are not biodegradable, and can take up to 1000 years to decompose.🚚 They are also not fully recyclable, and can only be recycled in limited quantities.🚚 They fool people into thinking that they are more ecological and encourage people to litter more.🚚 They also create competition for food sources, contributing to the global food crisis. Are bio-plastics healthy? ⚠️ Bio-plastics are not completely safe, and can be harmful to the environment and human health.⚠️ Some bio-plastics contain toxic chemicals, and can leach into the environment.⚠️ Some bio-plastics can also be harmful to human health, as they can contain bacteria, viruses, and other pathogens. Bio-plastics and the future of work What is the future of bio-plastics? Future of bio-plastics is bright According to François de Bie, Chairman of European Bioplastics, “The importance of a more than 200 percent growth rate within the next five years cannot be overstated.” Economic impact of bio-plastics The economic impact of bio-plastics is huge. According to Peter He, associate professor of chemical engineering at Auburn University, “Bioplastic is a key component to converting the conventional petroleum-based plastics industry from a wasteful linear economy into a sustainable circular economy.” Developments in bio-plastics Recent research has shown significant development in the production of bio-plastics with improved technology that can:💚 use both methane and carbon dioxide in biogas, maximizing value generation.💚 convert raw biogas without cleanup, eliminating biogas cleanup costs.💚 eliminate blowers and electricity cost associated with the conventional microalgae cultivation. Working in bio-plastics The bio-plastics industry is growing rapidly, and there is a huge demand for professionals with a background in biology, chemistry, and engineering. The following are some of the most common jobs in the bio-plastics industry:📌 Bio-plastics engineers📌 Bio-plastic product designers📌 Bio-plastic product manufacturer

The green economy will offer up to 24 million new jobs by 2030. Are you ready for a green career?

Sustainability & Ecology

#075940

Bio-plastics

What is Audio SEO? What is Audio SEO? Audio SEO 🎯 Audio SEO is the process of optimizing audio content for search engines.🎯 This includes optimizing the audio for keywords, and making sure that the audio is available on all the major platforms. How can audio help? 🔥 Audio content can be used to create podcasts, audio books, and audio guides.🔥 Audio content can be optimized for search engines by adding keywords, tags, and descriptions. Importance of Audio SEO 🎧 Audio is the most popular format for podcasts, with over 50% of all podcasts being in this format.🎧 GenZ and Millenials listen to podcasts as a great way to learn about new topics, and to keep up with the latest trends. Optimizing Audio SEO Optimizing Your Audio Content for Organic Search Optimising Audio Files 💡 The audio files should be of good quality and should be of a length that is comfortable to listen to.💡 The audio files should be easy to understand and should not contain any background noise.💡 The audio files should be short and concise. Creating Quality Audio Content 💡 Identify your target audience and ensure that your topic is focused.💡 Adopt a professional and engaging tone for your audio content, and avoid using slang or colloquialisms. Tips to optimize your podcast Topics and keywords 🎯 Choose a single topic and keyword for each episode.🎯 Ensure that your keyword and/or topic is included in the episode title and audio content. Titles and descriptions The titles and descriptions should match what users are searching for. A good title and description:🎯 Is concise for easy reading on mobile.🎯 Indicates the topics covered.🎯 States the benefits of listening. Landing Pages Your podcast should have a powerful landing page that:🎯 Crawlable audio files that are not not hidden behind login or no-indexed by your robots.txt file.🎯 Includes a link that points to your RSS feed. Dedicated pages for each podcast Each episode should have its dedicated page with:🎯 Optimized web page URL, title, and meta description.🎯 Full transcription with timestamps for the topics discussed.🎯 Well-structured headings and links mentioned during the episode.🎯 Information like episode length, date published, key takeaways, etc.🎯 A clear call-to-action and links to subscribe to your podcast. Streaming Platforms 🎯 You should publish your podcasts on all major platforms to maximise reach ad discoverability. Audio SEO and Marketing Why is Audio the new magic potion for Marketers? Let's look at some numbers first... 💡 According to Statista, the digital audio advertising segment is expected to reach $5.8 million USD in 2022.💡45% of podcast listeners have a monthly income over $75K. Audio SEO & Marketers 🚀 Marketers have to introduce more audio blended with the visual content.🚀 Investment in podcasting platforms, and audio intelligence and analytics is booming, creating new avenues for marketing.

Audio SEO

What is a Progressive Web App? What is a Progressive Web Page? A website that looks and behaves as if it is a mobile app Progressive Web Apps combine web and mobile technologies to:👉 provide websites that offer the same functionalities of a mobile app👉 provide the services of a mobile app on the web, using the same code base. What's the big deal about PWAs? 👉 PWAs allow anyone, anywhere on any device to enjoy the features of your app.👉 Developers don't have to worry about maintaining compatibility, since everything runs from a single code-base. The 3 Pillars of a PWA PWAs are designed to be:💪 Capable of providing mobile app feaures like file system access, media controls, app badging, etc.💪 Reliable irrespective of the network connection.💪 Installable in a standalone window, making users feel like they are using a mobile app. PWAs defined by certain characteristics: 💡 Greater discoverablility than mobile apps.💡 Re-engageable through push notifications.💡 Responsiveness to fit every device’s form factor and screen size.💡 Reduced vulnerability from attacks through HTTPs hosting. Can PWAs drive business success? PWAs leverage modern web capabilities The use of best practices and modern web APIs ensure that your site is your site fast, installable, reliable, and engaging.A fast and reliable site ensures:💡Reduced bounce rates for leads💡 Improved conversion rates💡 More returning visitors PWAs improve conversion The traditional conversion for a mobile app is a leaky bucket:CTA ➡️ Redirect to store (potential drop-out) ➡️ Download ➡️ Begin conversionConversion with PWAs is seamless and less likely to fail:CTA ➡️ Install PWA ➡️ Complete Conversion PWAs solve customer needs PWAs take away the stress of mobile apps:👉 Limited storage, delays and unreliability of mobile apps.👉 Reluctance to download a new app that they don't now / trust. Examples of PWAs ✨ Starbucks: The PWA is 99.84% smaller than Starbucks’ existing iOS app, and has doubled the number of web users who place orders daily.✨ Uber: The PWA has allowed them to serve customers on low-speed, 2G networks.✨ Flipboard: The PWA for this online news platform minimizes data usage to deliver a slick and fast browsing experience. Examples of PWAs ✨ Spotify: Their PWA was developed after a disagreement regarding Apple’s 30% app store commission.✨ Make My Trip: India's leading travel company tripled theor conversion rate by reducing page-load times by 38%.✨ Pinterest: With only 1 % conversion on their mobile apps, Pinterest shifted to PWA &amp; saw a huge jump in conversions leading to higher engagement &amp; ad revenues. Examples of PWAs ✨ Spotify: Their PWA was developed after a disagreement regarding Apple’s 30% app store commission.✨ Make My Trip: India's leading travel company tripled theor conversion rate by reducing page-load times by 38%.✨ Pinterest: With only 1 % conversion on their mobile apps, Pinterest shifted to PWA &amp; saw a huge jump in conversions leading to higher engagement &amp; ad revenues. Building a PWA Basic Vocabulary Service Worker 🧑‍💻 A service worker is a web application component that runs in the background, without the need for a browser window.🧑‍💻 It is a lightweight, efficient, and secure way to run code in the background. Jank 🧑‍💻 Jank refers to any piece of software that is designed to be slow, inefficient, and unresponsive.🧑‍💻 Jank-free refers to software that is free of unnecessary and inefficient code. Also known as lean software, it is designed to be efficient and lightweight, and to be able to run on a wide range of devices. Material Design Material Design is a design approach that focuses on creating products that are intuitive, efficient, and meaningful. These are guidelines to make the user experience better and more engaging. Enhance PWAs focus on enhancing the user experience by:🧑‍💻 Identifying core functionality and making it available to everyone.🧑‍💻 Cutting the mustard, i.e. shipping a core experience to everyone and enhancing the experience only after a certain feature-detected bar is reached. Building a PWA Core skills needed to build a PWA 🚀 JavaScript, HTML, CSS, and HTTP.🚀 Server-side technologies, (Node.js, Express, and Nginx.)🚀 Client-side technologies (JavaScript, Angular, and React.)🚀 Security and privacy protocols, (secure coding &amp; communication.)🚀 User experience design, user interface design, and user testing.🚀 Software architecture (software design patterns, and software architecture patterns.) Are you ready to start exploring the world of PWAs?

Progressive Web App

What is No-Code? What is No-Code? No-Code is a common term for software development that is not written in a programming language. Ummm, what? Let's look at an example For example, many people use Excel to create application reports. If a user enters information into an Excel spreadsheet and then clicks on a button that says "Generate report," the spreadsheet program will create the report. This is an example of no-code development. Advantages of No-Code development A person with no coding skills can still use tools like Excel to create applications.It also costs less to develop no-code software because it does not require specialized programmers. No-code software is typically more customizable for users because it does not require a programming language. What is Low-Code? Low-Code is a term used for any solution that provides a development environment used to create application software through a graphical user interface, with very little code. A rose by any other name...? No-Code v/s Low-Code 💡 No-code platforms are usually rigid. You can make changes, but you’re limited to what’s already there in the interface.💡 Low-code platforms offer more flexibility. You can add or change what you want, and you can even make your own pieces from scratch. Future of No-Code & Low-Code The market of low-code platforms is expected to cross $21 billion in the next 5 years! No-Code Solutions for Digital Product Builders It's the era of no-code! 📜 "Though we typically associate app creation with traditional developers who write code, hundreds of thousands of apps were built this year by non-technical "citizen developer" app creators from around the globe."- Jennifer Cadence, a product marketing manager, Google What is a Digital Product? 🧑‍💻 Digital products refer to any product that can be consumed and distributed online, ranging from e-books, websites, e-commerce stores to mobile apps.🧑‍💻 While some of these products can be created on DIY platforms like Canva, others need specialised platforms. No-Code platforms to build websites Can you really build websites without any knowledge of code? There are several options for building beautiful websites without writing a single line of code.All you need is an understanding of visual design and site architecture. Wordpress, yes, but also... 👉 Carrd enables you to build simple, one page sites.👉 Quarkly is a design tools for building websites and web-apps.👉 Webflow enables you to create websites on a visual canvas.👉 Wix is website building platform that doesn't require much knowledge of code. Are you ready to start building a website? No-Code solutions for creating mobile apps Digital Products : not just websites 🧑‍💻 Digital products refer to any product that can be consumed and distributed online, ranging from e-books, websites, e-commerce stores to mobile apps.🧑‍💻 While some of these products can be created on DIY platforms, others need specialised platforms. Create a mobile app without knowing how to code? 🧑‍💻 Adalo allows you to build mobile apps without any coding.🧑‍💻 Builder.ai is a human assisted AI platform to build mobile apps. 🧑‍💻 Bubble.io helps you build web and mobile apps with very little effort.🧑‍💻 Glide Apps can convert Google spreadsheets into beautiful, easy-to-use apps. Bye-bye code! Welcome to the age of No-Code 🪄 Before you continue, spend some time exploring these platforms and play around with their features to appreciate the magic of No-Code solutions. Pro-tips Testing & Deployment of your product Importance of testing and deployment This is a very important step of any project, and includes:👉 Checking if all requirements and specifications were successfully implemented.👉 Quality Assessment (QA) of the final product before it is pushed live, and made available to others. Pro-tips for testing 👉 Before you start testing, make a list of all the features of the product and its use cases.👉 Determine the importance of each feature, and choose which features require assessment first.👉 Set clear pass/fail criteria for your tests. Testing beyond product features ⚠️ When it comes to QA &amp; testing, the priority is always the product and its main features, but that's not all!You also have to test other aspects like mobile responsiveness, SEO, user friendliness, etc. Testing mobile responsiveness 🧐 You've built your product on the computer, but do you know how it looks and behaves on different mobile phones?🧐 We often forget to check this, and it can lead to some tricky situations, since most people now open everything on their phones. BrowserStack is a popular tool for checking mobile responsiveness. Testing SEO efficiency 🧐 Seach Engine Optimization. Is your product SEO friendly? If your product is meant for an open audience, then SEO can't be ignored.There are many tools that you can use for this, including Neil Patel’s SEO Analyzer. Testing user friendliness 🧐 You may have spoken to many people while designing your product, and thought about them while developing it.🧐 It is important to test your product with people outside your team to get true feedback. Platforms like Try my UI allow you to get 5 user test results free. Final checks: spelling and optimization 🔦Before going live, make sure you check for spelling mistakes.🔦 Don't forget to ensure that all links are working and that images are optimized using free online tools like Broken Links tool by Internet Marketing Ninjas andTinyPNG to optimize images to be under 100 KB.

No-Code for Web Design

Agricultural Innovation Importance of Agricultural Technology What does technology have to do with agriculture? 🧑‍🔬 Technology has been a huge part of agriculture in the last century.🧑‍🔬 In the U.S., food production has tripled since the 1940s, thanks to new technology such as GMO crops and irrigation. Benefits of Agricultural Technology 🌱 Higher crop productivity🌱 Decreased use of water, fertilizer, and pesticides.🌱 Reduced impact on natural ecosystems🌱 Less runoff of chemicals into rivers and groundwater🌱 Increased worker safety🌱 Reliable monitoring and management of air, soil and water How does this help the consumer? Agricultural technology has benefits for consumers as well:🌱 Greater production efficiency leading to lower prices🌱 Safer growing conditions which means safer foods🌱 Reduced environmental and ecological impact. What technologies are being used in agriculture? ⚙️ Robots for tasks that can be automated⚙️ Temperature and moisture sensors⚙️ Aerial images and GPS technology Agriculture 4.0 Producing differently using new techniques Technologies being used today... ⚙️ Hydroponics⚙️ Algae feedstock⚙️ Bioplastics Technologies waiting for market readiness ⚙️ Desert agriculture⚙️ Seawater farming Increasing food production Technologies already being used... ⚙️ Vertical farming⚙️ Urban farming Technologies waiting for market readiness ⚙️ Genetic modification⚙️ Cultured meats⚙️ 3D Printed food Cross-industry technologies and applications Technologies already being used... ⚙️ Drone technology⚙️ Data analytics⚙️ Internet of things⚙️ Precision agriculture Technologies waiting for market readiness ⚙️ Nanotechnology⚙️ Artificial intelligence⚙️ Foodsharing and crowdfarming⚙️ Blockchain AgriTech Trends in 2022-2023 The magic of technology! 😉 Bee vectoring In Bee vectoring technologies commercially reared bees are used to deliver targeted crop controls through pollination. This is beneficial for:🐝 increasing sustainable farming, and crop yield.🐝 replacing spraying of chemical pesticides with environmentally safe crop protection dusted on the bees legs.🐝 encouraging natural pollination of crops like apples, tomatoes, blueberries and sunflowers. Precision Agriculture 🌱 Precision agriculture is often associated with the use of GPS devices to collect data about a farm and then process and analyze the data with a computer.🌱 The data can be collected using a variety of methods and then analyzed using a variety of software.🌱 This helps farmers control crop yield variables like moisture level, soil condition, and microclimates to increase crop yield. Indoor Vertical Farming 🌾 Indoor Vertical Farming is an emerging technique in which a number of crops are grown within a building using artificial light and a hydroponic system that provides nutrients to the plant.🌾 It helps farmers control variables such as light, temperature, water, and CO2 levels, allowing them to get healthier and bigger yields. Livestock Farming Technology Livestock Farming Technologies help farmers streamline farm management, improve animal care, and boost productivity. The innovations include:🐄 Automated dairy installations🐮 Automated cleaning systems🐄 Automated feeding systems.🐮 Robotics, AI, big data for animal welfare and farm productivity. Farm Automation Farm automation is the process of using agricultural machinery, computer systems, electronics, chemical sensors, and data management to automate the activities of a farm. This helps farmers:🧑‍🌾 Reduce labor time,🧑‍🌾 Increase crop yields,🧑‍🌾 Improve efficiency in use of resources.Farmers are already using automated harvesters, drones, autonomous tractors, seeding, and weeding to improve their efficiency. Farm Management Software SaaS has a solution for every problem! Farm management software helps farmers streamline their processes by:🧑‍🌾 Providing real-time data and information for analysis,🧑‍🌾 Manage procurement,🧑‍🌾 Increase efficiency of their supply chain,etc… Real-time Kinematic Technology RTK is a fast and accurate GPS technology that offers centimeter accuracy and is used for applications like autonomous vehicles, surveying, and precision agriculture.It helps farmers:🚜 Map their fields accurately🚜 Limit circulation of farm vehicles to one lane.🚜 Reduce damage to the soil, and protect the soil's drainage and productivity. Water Management Technology Water management technology is becoming increasingly important to:💧Prevent over-watering of plants💧 Reduce drainage of excess fertilizers into streams and lakes, contaminating freshwater sources💧Develop systems that water to slowly drip to plants’ roots,💧 Reduce water usage by up to 50%

Agricultural Tech Trends

What are NFTs? What is an NFT? ✨ NFT stands forNon-Fungible Token. They are cryptographically unique tokens that are linked to digital or physical assets, providing proof of ownership. Ummm....? NFTs & Digital Art 🖼️ Issuing an NFT for an artwork works like a certificate of authentification.🖼️ It ensures that the piece is original, making it more attractive. NFTs for Physical Art ✨ NFTs can be used in the physical art world to track the originality of a specific piece and reduce the circulation of counterfeit artwork. NFTs v/s Regular Digital Art 🫵 Digital Art doesn't guarantee ownership. You can copy, and save a version by simply saving it on your device. You do not own the Mona Lisa if you take a picture of it, and that's the same for digital art.🫵 NFTs are an asset that come with ownership &amp; exclusive benefits such as the possibility to trade it, sell it, and use it as an investment. Art, or Science? Is it science, since it's based on a tech stack, or art?NFT art curators are locked in a debate over the fundamentals of this new form of digital art.Another point against its value as great art is that fine art NFTs comprise less than 10% of the market. Controversy of NFT Art Curation Decentralisation & NFT Art Curators The very tenet of NFTs and the Blockchain is decentralisation, which makes the concept of curation controversial.How can a movement built on the principles of removing central authorisation figures allow such a role to exist? Role of curators in a decentralised world Curators serve as gatekeepers to prevent rampant hyperinflation of artworks and a reduction in the average value of artworks and loss of investors. NFT auctions & curators NFT marketplace Zora recently launched an Auction House, an open and permissionless protocol on Ethereum that allows any creator, community, platform or DAO to create and run their own curated NFT auction houses.Curators have the role of creating unique contexts and spaces to auction NFTs on behalf of creators and collectors. What does an NFT Art Curator do? An NFT Art Curator - who dat? An NFT Art curator knows all the upcoming and established NFT artists, helps galleries and marketplaces curate their NFT collections and create the NFT drop for organisations. JD of an NFT Art Curator We are looking for an NFT Art Curator to help lead strategy, helping architect and curate drops, supporting both artists and buyers in the process. It's a highly visible lead role that requires a great deal of coordination with various teams including product, engineering, event, Design, PR, &amp; Marketing. Key skills of an NFT Art Curator ⭐️ Communication and social media marketing.⭐️ Creative and strategic thinking.⭐️ Understanding of digital art, NFTs and blockchain⭐️ Curation experience in digital, or physical art. A day as an NFT Art Curator NFT Art curator have to: ✨ Identify and connect with NFT artists, and engage with the broader NFT community.✨Create creative content across social platforms to promote NFTs.✨ Identify art &amp; design both in digital and non-digital spaces, and monitor emerging trends. Becoming an NFT Art Curator Do your research 🔎 Research the NFT space, emerging and established artists, get to know their stories. Identify your sub-culture 🔥 Popular NFT projects like Bored Apes Yacht Club and CryptoPunks have transitioned from fringe to mainstream.🔥 Find a subculture that interests you, and immerse yourself in it. Join communities & engage 📱 The NFT world is all about peer-to-peer connections and communities. Find the Discord communities for subcultures, and NFT collections and engage with them. Spark conversations 🚀 Whether it's Discord, or Twitter, take the initiative to start conversations, dig deeper and build your understanding of the space. Play the long game 🔥 Don't expect to get quick results with NFT sales of millions of dollars. While that happens sometimes, it is more important to play the long game, stick around for the long haul. Get ready to party! 🎉 Minting parties are super fun and you’ll get to meet artists and learn more about their work, so get ready to have a rockin' time! Pro-tips NFT Marketplaces 🔷 Getting into the NFT art scene isn't exactly a cakewalk, but it's not rocket science either. If you are passionate about the space, some upskilling in NFT, and an investment in time can yield fantastic results, and open the doors to a career as an NFT art curator. What are NFT Marketplaces? 💎 Platforms where NFTs can be stored, displayed, traded, and sometimes even minted (created).💎 NFT Marketplaces = Amazon and eBay for consumer products. OpenSea 🌊 OpenSea is an American online non-fungible token marketplace, that supports over 150 cryptocurrencies, and 14 different cryptowallets. Headquartered in NY, the NFT exchange initially began as a market for CryptoKitties but has expanded beyond collectibles. Rarible 🟡 Rarible is a popular NFT marketplace for investors, since it boasts of a collection that includes NFTs, along with other collectibles photography, games, music, domains, and even metaverse items.🟡 Though it has higher transaction costs, Rarible is still considered one of the best NFT Marketplaces, because you can buy NFTs using your debit, or credit card! It also supports 190 countries and several wallets, including Metamask and Coinbase. Binance 🔶 Binance is a low-fee marketplace that has NFTs in collections in art, sports, entertainment, gaming, collectibles, etc.🔶 Though you can only use crypto for transactions, you can buy digital currencies on the Binance exchange.🔶 They also have a 'Mystery Box' where you can purchase a box and obtain a random NFTthat could be very valuable. Assessing the value of NFTs Rarity 💎 Like any art, the value of an NFT is directly proportional to its perceived scarcity. This includes first-of-its-kind artwork from a famous creator in the digital arts industry, or any NFT that seems "hard-to-get." Utility 💎 NFTs that have NFT have utility in a real application (game tokens, virtual lands, etc) are more valued. This value accrues over time, based on the success of the underlying project.💎 Examples include Euro 2020 NFT Tickets, Decentraland property, or collectible cards like Geralt of Rivia in The Witcher Universe Gwent Card Game. Social proof 💎 One of the deciding factors for assessing the value of an NFT is social proof through the artist's Twitter and Instagram, and seeing their acceptability and popularity with their audience. Ownership history 💎 Like the physical art world, NFT art owned by influential people, or big corporations are considered more valuable. A good way for increasing the value of an NFT is by working with with people or enterprises with strong brand value in issuing NFTs. Speculation 💎 Be it art, of other assets, speculation can always drive up the value of anything. In December 2017, speculation drove the value of CryptoKitty #18 from 9 ETH to 253 ETH in just three days.

Do you have the basic people management skills, and the ability to drive culture, across different roles and industries?

People & Culture

#534804

NFT Curator

What is a Smart Contract? What is a Smart Contract? A smart contract is a self-executing contract with the terms of the agreement between buyer and seller being directly written into lines of code.- Investopedia What does that mean? 💡 A smart contract is basically a computer protocol that can digitally facilitate, verify, or enforce the negotiation or performance of a contract.💡 If somebody wants to enter into a contract with somebody else, a smart contract can be used to define the parameters of the contract. Let's break it down 💡 Ticket vending machines are a great example of smart contracts:If you choose a station, or type of ticket and insert a $2 coin, the machine will give you a ticket for one trip.Basically if the machine receives an instruction and item of value, it will perform the requested action.💡 Smart contracts do the same work for many use-cases. Advantages of smart contracts ✅ They ensure execution of a contract.✅ They automate the process of checking requirements.✅ They reduce the complexity of the contract. Disadvantages of smart contracts ❎ The system is transparent, meaning that the information is shared with all the participants.❎ The system has not yet been standardized.❎ Poor security leaves the system vulnerable and open to hackers. How do Smart Contracts work? How do Smart Contracts work? Smart contracts are powered by distributed ledger technologies like the Blockchain.The program for a smart contract program is stored on a blockchain and executed when specific conditions trigger the next action. Oracles and smart contracts In the cryptoverse, an Oracle is a code that connects a blockchain with the real world.They function as intermediaries, and provide data needed to execute a smart contract.When an oracle receives an input, it triggers the desired action. Let's break this down Here's an example of a smart contract:If Jane works 35 hours from June 4 through June 8, then pay her weekly salary.🤔 But how will the contract know if Jane worked 35 hours or not?💡 The Oracle will supply this information, using data stored in it. Types of oracles 👉 Software: retrieve data from APIs and websites.👉 Hardware: retrieve data from sensors, etc.👉 Inbound: procure information from outside the blockchain.👉 Outbound: send information from the blockchain to the real world. Let's map this to our example. Remember Jane?How will the smart contract know if she should be paid?👉 A software oracle will fetch the data about the number of hours she has worked from the blockchain, and send it outwards to the HR department so they can pay her. Are smart contracts decentralised? Smart contracts don't require private keys, which are mandatory for enterprise blockchain security.The private keys are controlled by the smart contract code, which is why smart contracts are more transparent, but also vulnerable to manipulation from anybody. Use-cases of Smart Contracts in the real world. Digital Marketing Campaign ✨ Brands can create smart contracts to include conditions that publishers (social media accounts) achieve certain targets in order to unlock payments.✨ The smart contracts can also be used to track impressions, or prevent click-frauds. Enhanced Customer Experience ✨ Brands can partner to offer complementary subscriptions, discounts, or gifts on completing certain actions.✨ This can help improve customer relationships. Improved Productivity for HR ✨ HR departments can automate their workflow using smart contracts for enforcing employee contract terms and penalties and paycheck processing.✨ Smart contracts can also facilitate onboarding of new employees by automating and simplifying verification of employee history etc. Accelerated Insurance Claim Settlements ✨ Maintaining patient history on the blockchain can help automate and accelerate insurance claim settlements.✨ A smart contract can get triggered to review the terms of the insurance coverage and release payment after certain medical treatments. Optimise Supply Chain Management ✨ Smart contracts can help organisation track products and materials, especially during international transportation. ✨ Smart contracts can also be leveraged by organisations to track stock and potential incoming orders.

Smart Contracts

What are Drone Pilots? What are drones? Drones are unmanned aerial vehicles. They are being used:👉🏾 to deliver small packages to remote locations.👉🏾 to obtain information about the environment.👉🏾 as a surveillance system to monitor criminals.👉🏾 to deliver medical supplies to remote locations.👉🏾 in search and rescue operations. Advantages of drones 👉🏾 Drones are cheaper than planes, helicopters, and satellites.👉🏾 Drones are easy to use and are not as dangerous.👉🏾 Drones are used for a lot of things, including agriculture, military, photography, and real estate Disadvantages of drones 👉🏾 Drones can be used to take pictures of people without their consent.👉🏾 Drones can be used for malicious purposes.👉🏾 Drones can be hacked and used against people. What are drone pilots? Drone pilots operate a drone by remotely controlling a drone via a remote control transmitter, video monitor, or other electronic means. Pilots come in all shapes and sizes:👉🏾 Professional pilots who fly drones for a living as commercial, or military pilots.👉🏾 Hobbyists or recreational drone pilots who fly drones for fun, like a 17-year-old teenager who cannot even drive a car but has a drone license from the Federal Aviation Administration (FAA). Working as a Drone Pilot Working as a drone pilot The demand for drone pilots is expected to grow by 51.1 percent over the next five years, with sales projected to reach over $16 billion by 2030.Pay rates for drone pilots vary greatly, depending on their level of experience and their specific role, ranging from $40,000 to $200,000. What do drone pilots do? Drone pilots are hired to do different kinds of work:👉🏾 film-making, TV and marketing,👉🏾 weather surveillance ad forecasting,👉🏾 mapping land use for farming or archaeological work,👉🏾 inspecting infrastructure like bridges and tall buildings,👉🏾 surveying air accident sites as part of investigations,👉🏾 military operations including surveillance, etc. Becoming a drone pilot Drone pilots usually need a certification, or a 4-year degree in aviation or aeronautical studies to become a drone pilot. Other skills include:👉🏾 Spatial awareness, hand-eye coordination👉🏾 Data analysis👉🏾 GPS navigation and flight planning👉🏾 Radio communication👉🏾 Aerial photography and video editing👉🏾 Quick thinking and problem-solving skills. Drone Pilot Certificates No one can operate an unmanned aircraft without a certificate or permit, except for recreational use.Operator Certificate is required if you want to operate an unmanned aircraft.Remote pilot certificate is required if you want to operate the unmanned aircraft from a remote location.To obtain the certificates, the applicant must pass an aeronautical knowledge test and a security test, get a medical certificate, and pass a test on the unmanned aircraft’s specific rules. Basics of flying a drone Regulations for drones in the US The Federal Aviation Administration regulates commercial use of drones:⚠️ Maximum weight of any item carried by a drone is 55 pounds.⚠️ Maximum altitude of a drone is 400 feet.⚠️ Maximum distance of a drone is 3,500 feet.⚠️ Maximum speed of a drone is 100 mph. Restrictions for drones in the US The Federal Aviation Administration regulates commercial use of drones. You cannot operate drones:❌ During the hours of darkness or in clouds.❌ More than 400 feet from the pilot.❌ Over people, within a horizontal radius of a sports stadium during a game, over a manned aircraft, for hunting, fishing, or trapping.❌ In a manner that interferes with law enforcement, firefighting, or emergency response. Improve your drone flying skills 👉🏾 Join a drone club or find friends who fly drones👉🏾 Watch a lot of training videos👉🏾 Set a landing spot and practice.👉🏾 Fly around in a perfect circle👉🏾 Upgrade to figure eight👉🏾 Use the first-person view (use your drone’s camera as your eyes)

Drone Pilot

What is SEO? What is SEO? SEO or Search Engine Optimisation is the “process of improving the quality and quantity of website traffic to a website or a web page from search engines.”- Wikipedia Why are we talking about it? 💡 There are over 2 billion sites and demand for SEO is exploding.💡 61% of marketers consider SEO efforts and boosting organic presence their top inbound marketing priority. How does SEO help businesses? 70% of marketers think SEO delivers better results than paid promotions by:👉 Boosting online presence👉 Increasing organic traffic👉 Enhancing customer satisfaction👉 Increasing chances of conversion Can you build a career in SEO? Search engine optimization is actually a very wide field with many opportunities for people with a variety of skillsets.There are positions available for people with the skills required to do technical SEO, to people who are more comfortable with the more creative, content-based aspects of SEO. Careers in SEO SEO Specialist An SEO Specialist is tasked with boosting a company’s online presence through content creation, keyword research, link building, and website content optimization. SEM Specialist An SEM Specialist focuses on search engine marketing, PPC, and customer relationship management. They have the responsibility of ensuring that the website ranks high on both organic and paid search engine results. SEO Analyst An SEO Analyst has to focus on conversion optimization and digital marketing strategy, with the aim of seeing the broader picture of search trends and coming up with strategies to improve the company's SEO. Link Builder A link builder creates and publishes content, with backlinks to the company’s website, which will help improve the company’s ranking on search engines. Content Marketing Manager A Content Marketing Manager is responsible for researching and writing content, designing the overall content strategy, and collaborating with SEO and marketing teams. Understanding SEO On-site SEO On-page optimization On-page optimization is about the content of the website itself. This includes things like the page title, meta description, content structure, images and keywords. Technical optimization Technical optimization is about the HTML and hosting of the site. It includes things like the URL structure, page load time, page size and page speed. Content optimization Content optimization is about the words and images on the site. It includes things like the site's purpose, the content's readability, read time, keyword distribution and keyword density. Off-site SEO Link building Link building is about getting other websites to link to your site. Link building includes things like guest blogging, inbound linking, social media and email outreach. Outreach Outreach is about getting a website to link to your site. Outreach includes things like phone calls, email and social media. Pro-tips Content is King Optimising content for SEO 📝 Create high quality content 📝 Create content that actually answers questions📝 Create relevant and up-to-date content. Keyword Selection Acing the keyword game 🔑 Do your research properly and choose the right keywords for your content.🔑 Check your competition while choosing your keywords.🔑 Plan your keywords based on your intent. HTML Mastering HTML hacks for SEO ⚙️ Make sure you use your keywords in the title tag.⚙️ Optimise the meta descripton for mobile &amp; desktop screens (160 characters).⚙️ Use Alt texts to describe images.⚙️ Choose your URL slug wisely with the right keywords to display intent. Site Architecture Make your site architecture SEO-friendly 🔍 Plan your site so that it's easier for search engines to crawl it and index the pages.🔍 Prioritise the mobile experience.🔍 Focus on improving page loading speed.🔍 Follow best practices for safety and security (HTTPS and SSL).

SEO Expert

What is CRM? What is CRM? Salesforces defines Customer Relationship Management (CRM) as “a strategy that companies use to manage interactions with customers and potential customers.” CRM helps companies:👉 streamline processes,👉 build customer relationships,👉 increase sales,👉 improve customer service, 👉 increase profitability. Is CRM a tool or a strategy? CRM is used to refer to 3 things:👉 A software that helps companies organize and analyze information about their customers.👉 A strategy that dictates how a company builds relationships with existing and potential customers.👉 A process adopted by a company to nurture and manage customer relationships. Why are we talking about it? 👉 74% of companies say CRM technology gives better access to customer data.👉 The ROI of a CRM software system, when properly implemented, can exceed 245%.👉 CRM software can boost sales by 29%, productivity by 34%, and forecast accuracy by 42%(Source: Finances Online, IBM) Advantages of CRM 👉 Improved contact databse management👉 Higher productivity with cross-team collaboration👉Better sales forecasting and management👉 More reliable reporting and sales metrics👉 Increased customer satisfaction and retention How are businesses using CRM? How are businesses using CRM? There are several use cases for CRM:👉 Sales and Marketing tool👉 Customer Database and Support👉 Human Resources👉 Supply-chain and partner management. Sales and Marketing 👉 Marketing teams use CRM to improve forecasting by mapping out customer journey from enquiry through to sale in order to understand the sales pipeline or prospective work.👉 Sales teams use CRM to track progress of individual team members and evaluate performance of teams, products and campaigns. Customer Database and Support Customers support teams use CRM to:👉 maintain a detailed customer database,👉 track customer interactions across platforms (social media, email, chat, telephone). Human Resources HR teams use CRM to:👉 improve the efficiency of on-boarding new employees and managing candidates,👉 analyse recruitment requirements and identify skills gaps,👉 improve staff retention targets. Supply-chain and partner management Supply-chain and partner management teams use CRM to:👉 track meetings with suppliers and partners,👉 record requests,👉 add useful notes,👉 schedule follow-upsThis helps them compare the efficiency of suppliers and improve the efficiency of the entire supply chain . CRM tools and software Types of CRM tools 👉 Operational CRM helps companies generate leads, convert leads into contacts and provide service infrastructure needed to retain customers👉 Analytical CRM helps companies understand the data gathered on customers and the interactions with them.👉 Collaborative CRM helps companies improve cross-team sharing of information Operational CRM 👉 Operational CRM is an all-in-one CRM system that combines customer services, marketing and sales.👉 In this system, customer data is recorded and used provide service across the customer lifecycle, including marketing, sales and service automation.👉 HubSpot and Mailchimp are popular operational CRM tools. Analytical CRM 👉 Analytical CRM is used to leverage customer data into trends and actionable insights to improve customer experience.👉 In this system, companies can record and analyse customer preferences, channels, trends, forecasting, etc.👉 Salesforce CRM Analytics and Zendesk Explore are well-known analytical CRM. Collaborative CRM 👉 Collaborative or strategic CRM allows different teams within an organisation to share customer data and collaborate.👉 In this system, companies can track interactions with customers across different channels, and analyse it to find the most effective channel.👉 Microsoft Dynamics 365 and Copper are well-known collaborative CRM.

CRM 101

What is Influencer Marketing? What is Influencer Marketing? ✨ Influencer Marketing is a form of marketing in which brands promote their products or services to influencers in the form of a sponsorship. Why are we talking about it? ✨ Influencer Marketing is becoming one of the hottest new trends in marketing.✨ The average consumer trusts an influencer much more than they do a traditional advertising campaign, and is more likely to purchase the product or service being endorsed.✨ 93% of marketers use "influencer marketing" to help build brand awareness on social media. Who is an "Influencer"? ✨ Consumer trust an influencer more than they do a traditional advertising campaign and are more likely to purchase a product or service that is endorsed by an influencer✨ Influencers can reach a different demographic than the brand can, and are more likely to drive traffic to the brand’s website. Benefits of Influencer Marketing ✨ Consumer trust an influencer more than they do a traditional advertising campaign and are more likely to purchase a product or service that is endorsed by an influencer✨ Influencers can reach a different demographic than the brand can, and are more likely to drive traffic to the brand’s website. Who is an "Influencer"? “Influencers in social media are people who have built a reputation for their knowledge and expertise on a specific topic. They make regular posts about that topic on their preferred social media channels and generate large followings of enthusiastic, engaged people who pay close attention to their views.”- Influencer Marketing Hub Becoming an Influencer What does an Influencer do? ✨ Influencers have to create photos and videos that are interesting, funny, and engaging.✨ They have to post content on a regular basis and maintain a consistent voice.✨ Becoming an Influencer 👉 You have to be active on social media.👉 You have to be an expert in your niche.👉 You have to make your content easy for readers to share.👉 You have to have a solid strategy for acquiring followers and leads.👉 You have to always be thinking about what your audience needs. Who can become an influencer? ✨ Bloggers and micro-bloggers.✨ YouTubers, video content creators and podcasters.✨ Key opinion leaders like journalists and industry experts. Types of influencers ✨ Mega-influencers: celebrities with more than 1 million followers.✨ Macro-influencers: online experts with between 40,000 and 1 million followers.✨ Micro-influencers: ordinary people, known for their knowledge about some specialist niche, with 1,000 to 40,000 followers.✨ Nano-influencers: experts in an obscure or highly specialized field, with very few followers. Pro-tips for Influencers Influencer Marketing Campaigns There are three main types of influencer marketing campaigns:✨ Sponsorship Deals✨ Product Placements✨ Influencer Campaigns Sponsorship Deals A sponsorship deal is the most common type of influencer campaign.In this type of campaign, an influencer receives compensation from a brand to mention that brand in one or more of their posts, or to post an image of themselves using the product. Product Placements A product placement is when a brand pays an influencer to use their product in a photo or video. Influencer Campaigns Sometimes a brand works with an influencer on a campaign to spread awareness and increase the chance of purchase. In these campaigns, the brand funds the influencer to produce and post content that promotes their product.

Influencer

What is Brand Strategy? What is Brand Strategy? ✨ Brand strategy is a "big picture" strategy that is used to determine the positioning of the product or service.✨ Shopify defines it as the approach that decides “how a brand builds identification and favorability with customers and potential customers.” Why is Brand Strategy important? Brand strategy is important because it is the single most effective way of making sure that a company’s products always stand out from the competition. According to the Edelman Trust Barometer Report, 81% of consumers across the globe said they need to be able to trust the brand before they buy anything. Let's talk in numbers... 🚀 77% of consumers prefer shopping with brands they follow on social media.🚀 65% of consumers say a brand’s CEO and employees influence their decision to buy.🚀 55% of brand first impressions are visual.🚀 60% of consumers have taken an action—either positive or negative—based on a brand’s actions. How is a Brand Strategy developed? Brand and products are often marketed to build up the "consumer's" long-term relationship with the brand. The brand strategy is developed by taking into account all aspects of the company's market, niche, product or service offerings, customers, and competitors. Developing a brand Branding methods are often used when a company needs to create a brand identity for a new product. To create the product's brand, a company must first research what the product is and what differentiates it from the competition. A company can then use the research to come up with a name, slogan, and logo for the product. Basics of Brand Strategy Brand Positioning Brand positioning means determining the manner in which a company’s products should be perceived in the marketplace. It is the “what” and “why” of the company’s marketing and communication efforts. The goal is to create a consistent and compelling image in the minds of consumers. Brand Personality Brand personality is the emotional connection a customer feels with a brand. It is based on the accumulation of the brand’s stories, the way it behaves and the way it communicates with customers. Brand Assets Brand assets are the various components of a brand that can be protected, including the name, design, logo, slogans and other distinguishing features that make consumers feel a connection to a product. Brand Equity Brand equity is the overall value of a brand. It is the cumulative effect of all the brand’s assets and the effect of those assets on consumer perceptions of quality and price. Common Practices 🚀 Defining the company's purpose and mission.🚀 Striving for consistency and quality.🚀 Building awareness and brand recognition through advertising.🚀 Building loyalty and encouraging positive word of mouth advertising.🚀 Engaging with customers through conversation on social media.🚀 Aligning with other brands with common values. Branding Methods Branding Methods 🚀 Attitude Branding🚀 Individual Branding🚀 Product Branding🚀 Co-branding Attitude Branding Attitude branding refers to the creation of a feeling or attitude associated with a brand.This has been executed by Nike, and their “Just do it” slogan which has led to the brand's association with the same attitude of a succesful sportsperson. Individual Branding Big companies and multinational corporations focus on building individual brands for their different products.Unilever has developed individual brand strategies for each of their products. Product Branding The most popular kind of branding, this involves the association of a logo, name, color, and design with a product to create a unique identity for the product. This is the most popular method since it gives life to products and increases their uniqueness.Apple is the best example of this kind of branding. Co-branding Co-branding, or branding partnership helps brands create a new identity by combining market strength. This is great to increase customer bases and perceived value.One of the most popular examples is the Nike and Michael Jordan collaboration. Working in Branding Working in Brand Strategy Development As long as companies exist, there will always be a requirement for brand strategies. Companies hire for many roles ranging from brand managers to brand ambassadors and influencers. Brand Managers Brand Managers are responsible for managing the overall brand strategy of a company. They are responsible for making sure that the company stays consistent with their brand voice, values and messaging. Brand Strategists and Analysts Brand Strategists are responsible for developing the strategy for brands. They are responsible for creating brand positioning and marketing strategy. There has been 17% growth in demand for brand strategists in 2022.Brand Analysts are responsible for analyzing the performance of brands. They are in charge of conducting market research. Brand Ambassadors Companies often hire brand ambassadors to promote their products or services. People with a high profile and fan following, they are often responsible for educating the public about the product or service, and may encourage customers to purchase these products. Influencers Influencers are people with a large social media following, making them desirable marketing partners for brands.The influencer promotes the product, company, or service in exchange for a fee or other compensation. This role has seen a 13% growth in 2022.

Brand Strategy

Variables, constants, data types What is a variable? A variable is a quantity that can take on different values. Examples An example of a variable is the number of friends I have. The number of friends I have varies from 5 to 250.The color of my hair varies from blond to brown.The weight of a toddler varies from 20 pounds to 55 pounds. What is a constant? A specific number or quantity that is not subject to change. Example The value of pi.The distance from Earth to the Sun.The number of consonants and vowels in the English language. Variables in Python Variables in python are created with the assignment operator, =. For example,fruit = ‘banana’quantity = 5Variables are created in two ways: with the declaration of a variable and the assignment to it.Variables can be made to hold objects that are more complicated than literals. For example,var = 10 Constants in Python In Python, constants are immutable objects, just like numbers, strings, and tuples. They are declared with the keyword const.# example of a constantConst MAX_CONNECTIONS = 100 Datatypes Datatypes are the types of information that a computer can process and store.numberslettersimagessoundvideoetc. Data types in Python Python is dynamically typed, so you don't have to tell the compiler what type the variable is. You just set the variable equal to a value and it will be the correct type when it is used. Python Data types Python has at least:integers (signed, unsigned, long, short)floatscomplex numbersstringsliststuplessetsfrozensetdictionariesNone Examples &gt;&gt;&gt; list = ["hello", 2, 45.6, None]&gt;&gt;&gt; tuple = ("hello", 2, 45.6, None)&gt;&gt;&gt; dict = {"hello": 2, "2": 45.6, "None": None}&gt;&gt;&gt; string = “hello”&gt;&gt;&gt; int = 2 Operators, Loops and Conditionals Operators Comparison operators allow you to check if two values are equal, greater or less in your program. Below are the comparison operators -== , != , &gt;, &lt;, &gt;=, &lt;=Negation operators allow checking if something is NOT true!Logical operators serve to check multiple conditions being true or false.and, or, not Loops in python In Python you can use loops to repeat an instruction over and over again.Python with loops is a good way to repeat instructions a number of times. The following code iterates over a list of numbers: python numbers = [1, 2, 3, 4, 5]for number in numbers: print(number)The code will print out each number in the list on a separate line.You can also iterate over a list of words, for example:a = ["red", "green", "blue"]for word in a: print wordThis will print red, green, blue. For Loop A for loop is a way to iterate over an array, list, or sequence in order. The following example shows how to iterate over a list with a for loop:for x in [1, 2, 3]: print(x)The output will be:1 2 3 The following example shows how to iterate over a list with a for loop that has a condition:for x in [1, 2, 3]: if x &gt; 2: print(x)The output will be:3Looping over a list with a for loop is a common way to iterate over a list, but list comprehensions are often easier to read. List Comprehension List comprehensions are a way to create a list of items that match a certain criteria. This can be done with a for loop, but list comprehensions are often easier to read. Conditional statements also often called an "if-then clause."In general an example of the if-then clause is"If the player has less than 10,000 points, then the player must take the risk of trying to win the 10,000 points."Another example would beIf the player has more than 10,000 points and less than 20,000 points, then the player can take the risk of trying to win the 10,000 points. Conditionals in Python Python has a very terse syntax, so it's easy to get confused when trying to decipher it.The expression is evaluated and the statement inside the if block is executed if the expression evaluates to true. If the expression evaluates to false, the else block is executed.if:if is_true(expression): statementelse:else: statement Example of if-then-else if x is not 0:print("x is not 0")elif x is 0: print("x is 0")else:print("x is unknown") Basics of functions What are functions? Functions are blocks of instructions which can be run separately.The following code is a very basic example of a function:def greetings(): print "Hello, my name is" Functions in Python Python has a number of built-in functions that you can use right away, including print(), input(), len(), type(), and more.To use a function, you'll need to type the function's name, followed by parentheses. Inside the parentheses, you can include any arguments that the function requires. For example, the print() function takes one argument: the value you want to print. Example Here's an example of how to use the print() function:print("Hello, world!")This will print the string "Hello, world!" to the screen. Built in Functions Built-in functions are functions that are already a part of the Python language.len() - Find the length of a stringpow() - find the power of a numberround() - round off a decimalmax() - find the maximum of a listmin() - find the minimum of a listAnd a wide range of such functions exist in the python library. Why do we need built-ins Built-in functions make it much easier to solve problems, in contrast to using manual methods, which can be time-consuming and difficult. Built-in functions are often used in combination with other programming constructs to accomplish a desired task.For example, the square root can be computed via the built-in function sqrt(). Simple function examples You can write your own functions and use them in your scripts. For exampledef multiply(x,y): return x*yIs a function to multiple two numbers. Now you can call it like soprint(multiply(5,5))Similarly to add two numbers a function would bedef add(x,y): return x+yAnd it can be called like soprint(add(5,5)) Why should I write functions? WRITE ONCE READ MANYYou define them once in your code and then keep calling them as many times as you need.Functions help to organise and make your code better More on functions Example - Sum of squares The following Python functions are prototypical for finding the sum of the squares of the first n natural numbers.def square_sum_n(n): a = 0 b = 1 while b &lt;= n: a += b * b b += 1 return aprint(square_sum_n(10)) Recursive functions In Python, a function can be recursive by using a recursive function.def factorial(x): if x == 0: return 1 else: return x * factorial(x-1)Note how the function is calling itself - this is called recursvenessi Limit of recursion The Python interpreter limits the depths of recursion to help avoid infinite recursions, resulting in stack overflows.By default, the maximum depth of recursion is 1000. If the limit is crossed, it results in RecursionError.

Python programming basics

Understanding 5G What is 5G? 5G is a next-generation cellular technology. It offers data rates up to 10-100 times faster than 4G LTE.In the right conditions 5G download speeds can reach 10 gigabits per second. That's up to 100 times faster than 4G – and certainly the level of performance needed for an increasingly connected society. How fast will 5G be? Initial 5G speeds are expected to be up to 10 times faster than what is currently available.Yet even today, with 5G technology still at the early stage of its evolution, speeds are lightning fast What will 5G mean for our devices? 5G will require significant upgrades to networks and infrastructure. What will 5G mean for our networks and infrastructure? 5G will require significant upgrades to networks and infrastructure. What are some of the benefits of 5G? Higher speeds and throughputs, responsive and immersive experience, more sustainable and energy efficient, and lower latency. Jobs in 5G "cognitive-physical” skilled jobs While App Economy jobs were focused on software development, Wave 3 jobs will drive job growth in dozens of sectors, across the economy in what we would traditionally consider both white collar and blue collar positions. Network meets the cloud We can push more capabilities out to the edge, including real-time and near-real-time applications of machine learning and artificial intelligence to the physical world. In many cases, new technologies create new tasks and markets that didn’t exist before. For example, healthcare providers already monitor medical equipment like pacemakers remotely. But with 5G, the set of possible at-home diagnostics or interventions will expand greatly, and telehealth installers and maintainers will be a highly valued occupation. 5G & The Future Of Connectivity The next generation of wireless technology could affect a wide range of industries, from healthcare to financial services to retail. 1. Manufacturing 5G will fuel next-gen, bandwidth-heavy technologies such as automation, IoT, and AI on the factory floor.It will improve efficiency by powering AR overlays in workflows, as well as ensure safer practices through virtual reality (VR)-based training.It can reduce the number of defects through predictive analytics and real-time detection of damage. 2. Energy & Utilities 5G-powered sensors can provide real-time insights into power outages and energy usage.Through 5G-connected smart meters, homeowners will have more information to better manage their energy usage.5G could be up to 90% more energy efficient per traffic unit than 4G networks — although other factors like enabling heavier network traffic could blunt the potential for overall energy savings.Using 5G-enabled drones for monitoring, maintenance, and inspections of energy infrastructure will boost efficiency and reduce environmental impact. 3. Agriculture 5G will give farmers greater insight into their crops, leading to higher crop yields and better-quality output.Connected sensors providing real-time updates on machinery, infrastructure, and more can ensure more efficient operations and improved maintenance.Through 5G, the time it takes to sync precision farming processes is cut from about a minute to less than one second. 4. Retail Store and shipping operations can become more efficient and measurable with 5G, reducing costs.5G will fuel the creation of new consumer experiences, such as photo-realistic virtual try-ons.5G will support technologies that help customers shop more efficiently and check out faster while also collecting more data on the customer experience. 5. Financial Services 5G’s faster data transfer speeds mean more efficient, real-time financial services, from processing payments to credit checks to placing trades.5G will drive a better user experience on mobile devices and increased adoption of applications like contactless payments and mobile wallets.It will allow improved privacy and security through rapid biometric communications and more efficient fraud detection. 6. Media & Entertainment Faster data transfer speeds and lower latency will support varied entertainment experiences from streaming to mobile viewing to VR.Sports will become more personalized and dynamic, both inside and outside the stadium.Changes brought by 5G could create a $1.3T revenue opportunity for media companies. 7. Healthcare 5G will enable the widespread use of AI in healthcare and more automated workflows, while the adoption of 5G-supported AR/VR in care settings could improve training and procedures.Better telemedicine services could contribute to more affordable and accessible care.Wearables and remote patient monitoring (RPM) drive a more proactive approach to diagnostics and treatment, leading to improved care outcomes and decreased costs. 8.Transportation 5G will be critical to enabling autonomous vehicle operations, including handling the massive data requirements of cellular vehicle-to-everything (C-V2X) communications.Public transit systems could become more efficient and flexible through real-time route planning and high-speed communications.Smart city functions such as smart traffic management, powered by 5G connectivity, could save time for drivers and cut down on fuel emissions. 9. AR/VR 5G will make AR and VR technologies more convenient, useful, and efficient by enabling seamless and on-the-go experiences.In turn, greater AR/VR adoption will accelerate change in industries from manufacturing to healthcare to gaming. 10. Insurance Insurers will gain granular insight into risks and losses through 5G-enabled sensors and devices across settings, including in remote locations and marine shipments.With 5G, wearables will instantly share health information with health insurers to inform policy decisions and create new products.The proliferation of 5G-connected IoT devices in vehicles will fuel a more personalized and responsive approach to auto insurance. 11. Education Education will become more immersive through 5G-powered technologies like AR/VR.5G can facilitate real-time video learning and online collaboration, making education delivery more convenient and efficient.Learning can be done on the go with high-speed connected mobile devices. 12. Cloud & Edge Computing With 5G, cloud computing’s latency and throughput could be on par with local area networks (LAN).5G in combination with edge computing will enable near-real-time communications and data processing in critical circumstances like autonomous driving. 13. Gaming 5G will increase online gameplay’s bandwidth and cut down on latency, reducing delay by up to 5x and making large-scale multiplayer experiences — from MMOs to e-sports — more feasible.VR gaming will gain mainstream appeal as 5G makes VR use more accessible, enjoyable, and realistic. 14. Real Estate Driven by 5G, the adoption of AR/VR in the real estate industry means agents can provide better virtual tours remotely and allow customers to visualize properties with more flexibility.Building owners could monetize elements of 5G infrastructure, such as small cell deployment, while charging tenants more for smart building features.5G will be a boon for the remote work movement, enabling people to reliably work from more places. 15. Public Safety 5G will improve situational awareness in threat and emergency situations, powering threat detection technology, real-time alerts, and more.Connected devices like wearables and home sensors could use 5G to send immediate notifications to first responders in the event of an emergency. 16. Supply Chain Management Starting with the warehouse, 5G would improve operational efficiency and quality assurance.Connected sensors will enable continuous and granular tracking of shipments from door to door.5G will enable more autonomous vehicles to deliver goods simultaneously in dense urban areas. 17. Restaurants 5G will enable greater traceability and transparency in ingredient sourcing and in tracking outbreaks of illnesses like E. Coli.The restaurant kitchen will benefit from new technologies like robot helpers and connected sensors on a 5G network, bringing greater speed and efficiency to food prep.5G-powered food delivery could rely on drones as a more flexible and cost-effective option. 18. Tourism 5G-powered AR/VR experiences will make tourism more immersive and engaging, driving business growth.5G could extend the range of connected tourism experiences to remote regions.Placing robots and other connected tech throughout airports and hotels will help improve sanitation and safety, as well as the customer experience. 19. Military 5G promises to improve command-and-control communications by accelerating signal transmission.The use of AR/VR could bolster training in the field by creating life-like simulations without the danger of real-life situations.Eventually, 5G could power futuristic military use cases like virtual representations of battlefields, autonomous military vehicles, connected weapons, and more. 20. Marketing & Advertising 5G will drive greater and more seamless online content creation and consumption, providing new opportunities for advertisers.Ad formats will become more immersive thanks to 5G, moving from static display ads toward interactive placements, high-quality videos, and even AR/VR experiences.

Careers in 5G

Introduction What is stable diffusion? Stable Diffusion is a deep learning, text-to-image model released by startup StabilityAI in 2022.In simple words it is an Artificial Intelligence tool that was created to make images from description. What is Stable Diffusion? Stable Diffusion is a deep learning, text-to-image model released by startup StabilityAI in 2022.In simple words it is an Artificial Intelligence tool that was created to make images from description. Why should I care? The future of our world is dependent on humans working with AI to produce faster, cheaper and better results.Stable Diffusion is just the latest in a series of such developments in AI that allow anyone to become a creator. Advantages of Stable Diffusion The Stable Diffusion model is best for digital art design and very creative and abstract drawings.Stable Diffusion is much more efficient than DALL·E. First of all, the carbon footprint is smaller. Second, this model can be used by anyone with a 10 gig graphics card. It can be run in a few seconds, doesn’t require as much hardware. What are diffusion models? Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. Diffusion models are fundamentally different from all the previous generative methods. Intuitively, they aim to decompose the image generation process (sampling) in many small “denoising” steps. First Phase The model captures the image and progressively adds noise to it. This ‘noise’ consists of tiny spots and dots distributed throughout the image that worsen the quality. We start from a clear image and turn it into an image with noise and gradient. Second Phase In this phase, the model learns to progressively remove noise, depixelating it, until a clear image is achieved. It decomposes, analyzes the image and finally creates the final result. how does stable diffusion work? A language model which transforms the text prompt you enter to a representation which can be fed to the diffusion model and used via cross-attention mechanisms. They use a “from the shelf” BERT tokenizer with a transformer for this part, so I won’t go deeper into it. The diffusion model which is basically a time conditional U-Net (for details on U-Net check here) which takes as input some Gaussian noise and the representation of your text prompt and denoises the Gaussian noise to get closer to your text representation. This is repeated several times that’s why it’s called time conditional. A decoder which takes the output of the diffusion model and upscales it to a full image. The diffusion model operates on 64x64px and the decoder brings this to 512x512px. The real magic of SD and other image generation is human and computer interaction. Don’t think of this as a “put in a thing, get a new thing out”; the system can loop back on itself.While what SD generates might not be used as final assets, it could be used to generate textures in a prototype game. Or generate a logo for an open-source project.

AI Art with Stable diffusion

Corporate Gifting Corporate Gifting 🎁 Businesses around the world have doubled their budget for corporate gifts since the outbreak of COVID19.🎁 80% of businesses believe that gifting fostered stronger links with customers, and led to higher ROI. Reasons for its efficiency 💡 Loyalty programs are failing to keep customers engaged. 23% of businesses report a negative or non-existent reaction to the program.💡 Gifting is an excellent alternative for points-based loyalty programs.19% of customers return within 90 days of receiving a gift. Key takeaways for marketers 🚀 Investment in gifting startups has increased in the last couple of years.🚀 Gifting startups focus on customer retention and provide service to many big and small brands. Direct Mail Marketing Direct Mail Marketing 📨 Direct Mail Marketing has increased in the last few years, with a 34% increase from 2020 to 2022.📨 84% of marketers reported that direct mail marketing campaigns improved their ROI on digital marketing campaigns. Reasons for its popularity 💡 Consumers are tired of social media advertisements and organic search is becoming very competitive.💡 The increasing cost of digital advertising is making marketers think of alternative strategies. Key takeaways for marketers 🚀 Investment in D2C (Direct to Consumer) marketing solutions will increase.🚀 Marketers will have to realign their strategies to include this offline channel as well. Return of the Retro Return of the Retro ☎️ Old school is the new cool! Retro-themed designs and products are increasing in popularity.☎️ Retro subreddit subscriptions doubled to cross 10K in 2020, and retro searches on Amazon are also flying through the roof! Reasons for the retro resurgence 💡 Nostlagia among the generation with the highest spending power: millenials entering their middle age.💡A desire for a simpler, pre-social media life among GenZ. Key takeaways for marketers 🚀 Higher focus on the 80S aesthetic in ads and messaging.🚀 More investment on old school marketing methods, like direct mail campaigns. Audio SEO Audio is the new king 🎙️Audio is becoming a more popular format among consumers who are tired of the visual format.🎙️Podcasts are growing faster than the entire Internet in the early 2000s! Spotify alone has more than 3m shows. Audio SEO 💡 Despite the increasing popularity of audio, SEO for this format has not improved.💡 65% of consumers say they don't know where and how to find the audio content of their interest. Key takeaways for marketers 🚀 Marketers have to introduce more audio blended with the visual content.🚀 Investment in podcasting platforms, and audio intelligence and analytics is booming, creating new avenues for marketing. B2B Influencers B2B Influencers ✨ 58% of B2B marketers plan to increase their Tiktok marketing budgets and intend to engage influencers on the platform.✨ 79% of the marketers reported that influencer strategies will become more important in the next year. Reasons for its impact 💡 B2B clients find sponsored and co-branded content more trustworthy than direct marketing from vendors.💡 Influencer led B2B campaigns gave a higher ROI to marketers than any other campaign. Key takeaways for marketers 🚀 Big brands like Microsoft, Zoom, Linktree, Square and Grammarly are all working with B2B influencers.🚀 B2B influencers can create all kinds of content ranging from blogsposts to webinars and TikTok videos. Metaverse & NFTs NFT Marketing and Virtual Pop-ups ✴️ Big brands are incorporating NFTs and virtual pop-up stores in their marketing campaigns.✴️ Brands are using everything grom NFT passes to unlock their Metaverse communities to collectibles to promote their products. Reason for this new trend 💡 GenZ believes that NFTs and the Metaverse are the future, and want to see more virtual products and experiences.💡The new-age consumer is likely to be more attracted to virtual events, like Decentraland's Fashion Week, etc. Key takeaways for marketers 🚀 Marketers have to invest more time and money to capitalise on the current interest in NFTs and the Metaverse.🚀 The digital world is exploding with opportunities: gamified NFT collections, virtual events and merchandise…the possibilities are endless.

Marketing Predictions for 2022 and 2023

Titash Neogi Titash Neogi Titash Neogi has more than a decade of experience in startup building, engineering management, product architecture and building companies from ideas to launch.His areas of interest include: NLP - knowledge graphs, Named Entity Recognisers, Natural Language Processing, Text Mining and deep web crawling, Machine Learning, Microservices architectures, REST APIs, Fintech platforms and cloud infrastructures. Book a slot with Titash You can book a slot with Titash here. Geetanjali Shrivastava Geetanjali Shrivastava Educator turned entrepreneur who believes in the power of skills. From her early days in teaching, she has found the greatest joy and satisfaction in helping people unleash the power of their skills to achieve professional success.Her areas of interest include soft skills, languages, content writing, social media, design, sustainability and freelancing. Book a slot with Geetanjali You can book a slot with Geetanjali here.

Find your Adaptiv Mentor

Introduction to GPT3 What is GPT3? GPT3, or Generative Pre-trained Transformer 3, is an AI language model, which is trained to generate any type of human language text on the basis of an input.It is the third version of the tool, developed by Open AI, an AI research and deployment company. Why are we talking about it? GPT3 is has been in the news because it can learn from a much larger amount of data than previous versions, and it can learn from multiple types of data including text, images, and video. It can create articles, poetry, stories, news reports and even dialogues!It can also be used to create new applications such as chatbots, question answering systems, and machine translation systems. Superpower of GPT3 📌 The superpower of GPT3 is its ability to learn from humans. GPT3 can learn from the way humans use language. This means that it can understand the context of a sentence, and it can learn the meaning of words.📌 It can also learn from the way humans use different languages. This means that it can translate text from one language to another, or to translate text from one format to another with greater speed and accuracy than Google Translate. How is GPT3 being used today? Potential use cases for GPT3 📌 Automated machine translation📌 Automatic analysis of text data.📌 Text generation through inputs📌 Predictive modeling to identify trends or make recommendations.📌 Data analysis and visualization How is GPT3 being used today? 🚀 Copywriting platforms that generate high-quality copy for your business.🚀 Resume builder and templates using state-of-the-art deep learning models.🚀 Meme generators that enable users to create memes like pros.🚀 AI-generated greentext stories (personal anecdotes and fiction) and creative writing.🚀 Interface design, layouts , code, devops, and more. Are there any limits to the powers of GPT3? Though it seems magical, GPT3 does have some limitations:📌 GPT3 models are pre-trained so they don't keep learning. Their output is not necessarily updated. According to Open AI, “default models' training data cuts off in 2021.”📌 The outputs aren't always logical and can not be explained.📌 Several biases have been found in the outputs due to human biases in the training data. How does GPT3 work? How does GPT3 work? GPT3 is a Neural Network Machine Learning Model, which is trained to generate any type of human language text, using 175 billion parameters. It is a sequence transduction model, i.e. a technique that transforms an input sequence to an output sequence. What is a sequence transduction model? Sequence transduction model are often used for machine translations and speech recognition solutions.GPT3 uses sequence transduction to predict the likelihood of a text outcome, based on an input sentence. Here's an example:👉 Input given to Open AI: “We thought we would go for a picnic, but…”👉 Output given by Open AI: “…it rained.” How did GPT3 become so good? GPT3 has been trained on huge data sets, which include:🚀 Common Crawl : an open repository of web crawl data of billions of web pages in over 40 languages.🚀 English Language Wikipedia with 6 million articles.etc… GPT3 and the future of work Should GPT3 be made generally available? Open AI had certain concerns while presenting GPT2, which are still valid:“Due to concerns about large language models being used to generate deceptive, biased, or abusive language at scale, we are only releasing a much smaller version of GPT-2 along with sampling code. We are not releasing the dataset, training code, or GPT-2 model weights.” Concerns regarding GPT3 👉 The ability of AI to generate racist, sexist, or otherwise pernicious language is very worrying. The need is to train the AI on unbiased and diverse data, which isn't easily available.👉 Advanced language models can also be used to manipulate public opinion.👉 Improving the AI of GPT3 is a mammoth task, requiring a very high investment in terms of hardware and budgets in millions of dollars. Is it time to panic? 🔮 While GPT3 and other AI tools are making giant leaps towards the future, it is not yet time to panic.🔮 AI is increasingly automating tasks, but it still needs the creativity and problem-solving qualities of humans for its application in the future of work.🔮 Though most processes still require much more that what it is currently solved by GPT-3, it will definitely change the way we approach work in the future.

GPT3

What is Data Visualisation? What is Data Visualisation? Data visualisation is the process of converting data into a graphical format in order to make it more understandable and easier to interpret. This can be done using a variety of methods, such as charts, graphs, and maps. History of Data Visualisation 🧐 The history of data visualisation is long and varied, with the earliest examples dating back thousands of years.🧐 It has made a lot of progress since 1644 with the first graphical representation of statistics by Flemish astronomer, to the publication of "The Visual Display of Quantitative Information" by Edward Tufte in the 1980s, which is still used in universities today Importance of Data Visualisation Data visualisation can be an extremely powerful tool, as it can make complex data more understandable and easier to interpret. This can be useful for a variety of purposes, such as finding patterns and trends, making comparisons, or identifying outliers. Types of Data Visualisation 📊 Charts: Bar charts, line charts, pie charts, etc.📊 Graphs: Scatter plots, line graphs, bar graphs, etc.📊 Maps: Geographic maps, heat maps, etc.📊 Infographics: Visual representations of data that use a combination of charts, graphs, and images. Importance of Data Visualisation Advantages of Data Visualisation 👍 Making complex data more understandable👍 Finding patterns and trends👍 Making comparisons👍Identifying outliers👍 Communicating data more effectively Challenges of Data Visualisation 👎The potential for inaccurate or misleading representations.👎 The need for skilled professionals to create effective visualisations.👎 The potential for over-simplification. Use cases for Data Visualisation 👉 Sales and Marketing👉 Finance👉 Politics👉 Healthcare👉 Logistics👉 Research Big Data and Data Visualisation The increasing popularity of big data and data analytics have made visualisation more important. Using complex representations, such as heat maps and fever charts, data visualisation helps to speed up the process of sorting through massive amounts of data gathered by ML, and presenting the information to business owners and stakeholders in a way they can understand. Becoming a Data Visualisation Expert What does a Data Visualisation Expert do? Data Visualisation Experts are responsible for:👉 Conducting research and analysis in order to find patterns and trends.👉 Using software to create graphical representations of data sets, quantitative and qualitative analysis.👉 Providing visual, technical and editorial support and guidance. Skills of a Data Visualisation Expert A Data Visualisation Expert should have the following profile:👉 Strong analytical engineer who knows Angular. js, d3. js, Python etc,👉 Excellent communication skills👉 Excellent math and analytical skills👉 Attention to detail Becoming a Data Visualisation Expert 💡 Learn about database management💡 Get familiar with data visualisation software💡 Understand the expectations of the audience💡 Work on creating smart and attractive visualisations💡 Use clear and concise design and language. Career Prospects of Data Visualisation In 2019, data visualisation was valued at $9.06 billion and is projected to grow at a compound annual growth rate (CAGR) of 7.83% for a market size of $15.35 billion by 2026. The average salary for data visualisation experts is 110,000 USD. Data Visualisation Principles Simplicity in Data Visualisation ✨ Simplicity: The data visualisation should be as simple as possible, in order to make it more understandable. Clarity in Data Visualisation ✨ Clarity: The data visualisation should be clear and easy to interpret, so choice of visualisation type and the accompanying text is important. Accuracy in Data Visualisation ✨ Accuracy: The data visualisation should be accurate, in order to avoid misleading the audience, or misinterpretation. Functionality in Data Visualisation ✨ Functionality: The data visualisation should be functional, in order to make it more effective. Phases in Data Visualisation Data Visualisation Phases The process of data visualisation generally consists of four main phases:✨ Data Collection✨ Data Preparation✨ Visualisation✨ Interpretation Data Collection ✨ Data collection: The first phase is data collection, which involves gathering the data that will be used in the visualisation. Data Preparation ✨ Data preparation: The second phase is data preparation, which involves cleaning and formatting the data. Visualisation ✨ Visualisation: The third phase is visualisation, which involves creating the actual graphical representation of the data. Interpretation ✨ Interpretation: The fourth and final phase is interpretation, which involves analysing the data visualisation in order to extract meaning from it. Data Visualisation Tools Data Visualisation Tools The most well-known tools for data visualisation have been developed by Microsoft, IBM, SAP and SAS, but there are also others like Tableau, Qlik and Tibco.The advantage of these tools is their front end functionality, which helps data engineers and scientists keep track of data sources and do basic exploratory analysis, before starting complex analysis. Tableau Tableau has a paid and free version, desktop app and online version, and also provides integration to advanced databases, including Teradata, SAP, My SQL, Amazon AWS, and Hadoop. D3.js D3.js is a JavaScript library for manipulating documents using data. Extremely powerful and customizable, it allows data visualisation experts to make a variety of charts, but requires basic JS knowledge. Fusion Charts Another JavaScript-based option for creating web and mobile dashboard, FusionCharts has 150 chart types and 1,000 map types, and can integrate with popular JS frameworks (including React, jQuery, React, Ember, and Angular) as well as with server-side programming languages (including PHP, Java, Django, and Ruby on Rails).

Data Visualisation Expert

What is LGBTQi? What is LGBTQ? 🧑🏿‍🤝‍🧑🏼 The acronym LGBTQ stands for Lesbian, Gay, Bisexual, Transgender, Queer / Questioning. In the recent years "I" has been added for intersex, "A" for asexual and a "+" sign as a placeholder for other identities. 
🧑🏿‍🤝‍🧑🏼 On the other side of the coin, inclusion refers to the equal treatments given to everybody, irrespective of the group to which they belong. Celebrating Pride Month 🏳️‍🌈 Pride Month is celebrated in June in honor of the Stonewall Riots, which took place on June 28, 1969, in response to a police raid of the Stonewall Inn, a gay bar in New York City. 
Brenda Howard, a bisexual activist, known as the "Mother of Pride" coordinated the first Pride March in NY in 1970, but Pride Month was first celebrated in only 1994. Spectrum of Pride 🏳️‍🌈 The original LGBTQ flag was created by Gilbert Baker in 1978. Baker, a San Francisco-based artist, designed the flag in response to a need for a symbol of pride for the LGBTQ community. The flag was first flown at the San Francisco Gay Freedom Day Parade on June 25, 1978. What does the LGBTQ flag represent? 🏳️‍🌈 The flag originally had eight colors, each with a specific meaning: 
pink for sex, red for life, orange for healing, yellow for sunlight, green for nature, turquoise for magic/art, indigo for serenity, and violet for spirit. 
However, due to fabric limitations, the flag was eventually reduced to six colors. Gender identities Gender v/s Sexual Orientation Gender identity is a person's internal sense of their own gender. Sexual orientation is a person's romantic, emotional, or sexual attraction to another person.
Someone's gender identity does not necessarily have anything to do with their sexual orientation. Ex, a transgender woman can be attracted to men, women, or non-binary people. LGBTQ v/S Transgender LGBTQ is an acronym that stands for lesbian, gay, bisexual, transgender & queer. 

Transgender is an umbrella term used to describe a variety of different gender identities.

It is important to remember that not all transgender people identify as LGBTQ, and not all LGBTQ people identify as transgender. Transgender flag 🏳️‍⚧️ The transgender flag created by Monica Helms in 1999 consists of 5 horizontal stripes: 2 light blue, 2 pink, and 1 white stripe in the center.

The stripes on the flag represent the traditional colors of baby boys & girls, and the white stripe represents those who are transitioning or who are non-binary. Why are we talking about this? 🧐 To promote visibility and acceptance of LGBTQIA+ people.

🧐 To educate others about the experiences and needs of LGBTQIA+ people.

🧐 To create a more inclusive and welcoming world for everyone. LGBTQi vocabulary Cisgender & Transgender 🧑‍🤝‍🧑 Cisgender is a term used to describe people whose gender identity matches the sex they were assigned at birth. 

🧑‍🤝‍🧑 Transgender is an umbrella term used to describe people whose gender identity does not match the sex they were assigned at birth. Cishet v/s Straight 💑🏽 Cishet is a term used to describe people who are both cisgender and heterosexual.

💑🏽 Straight (or heterosexual) is a term used to describe people who are attracted to people of the opposite sex. Gender non-binary v/s Gender fluid 🧑🏿‍🤝‍🧑🏽 Gender non-binary is a term used to describe people who do not identify as either male or female. Gender fluid is a term used to describe people whose gender identity changes over time or depending on the situation.
🧑🏿‍🤝‍🧑🏽 Both gender non-binary & gender fluid people can identify as any gender, or no gender at all. Homophobia & Transphobia Homophobia is the fear or hatred of LGBTQ people. Transphobia is the fear or hatred of transgender people.

They can be expressed in a variety of ways:
🚫 Verbal abuse or harassment
🚫 Physical violence
🚫 Discrimination in housing, employment, or education. Heterosexual Privilege & Microagressions Heterosexual Privilege Heterosexual privilege is the set of benefits and advantages that heterosexual people receive simply because of their heterosexuality. This extends to family acceptance, employment opportunities, health & insurance benefits, and even public recognition (& acceptance) of relationships. Examples of heterosexual privilege 🧐 The assumption that everyone is heterosexual, and that heterosexuality is the norm.

🧐 The lack of need to justify or explain one's heterosexuality, and choice of partner.

🧐 The lack of need to fear violence or discrimination based on one's heterosexuality. Microagressions against the LGBTQ community 💢 Microaggressions are everyday actions or words that unintentionally reinforce negative stereotypes or assumptions about the community.

💢 This includes disapproval of LGBTQ* experiences, the endorsement of hetero- and gender-normative cultures and behaviors, use of heterosexist and gendered language, etc. Examples of microaggressions against LGBTQ people 💢 Asking a transgender person what their "real" name is.

💢 Asking a gay person when they are going to "settle down" and get married.

💢 Referring to a bisexual person as "confused" or "greedy." Inclusion & support Become an ally It is important to become an ally of the LGBTQ community by:

✨ unlearning the myths that society has taught about the community and other marginalized groups,

✨ developing an understanding of heterosexism, homophobia, transphobia, and cissexism,

✨ working towards initiating change through personal, institutional, and social justice. Support inclusion of LGBTQ people ✨ Using gender-neutral language.

✨ Avoiding making assumptions about someone's sexual orientation or gender identity.

✨ Standing up to homophobic or transphobic comments or jokes.

✨ Listening and learning from LGBTQ people about their experiences and needs. Importance of LGBTQ inclusion 💕Creating a more egalitarian, inclusive and welcoming world for everyone.

💕 Improved creativity, and cultural insights. LGBTQ Inclusion at Work ✴️ Safer environment for employees leading to improved productivity and profits.

✴️ Improved employee engagement with reduced gossip, intra-office politics, and stress.

✴️ Improved company reputation, making it easier to retain and hire good talent.

LGBTQi+

Introduction to Generative AI What is Generative AI? Generative AI is a type of artificial intelligence that can learn from experience to solve problems and make predictions.Some examples of generative AI include evolutionary algorithms, neural networks, and genetic programming. what are the benefits of generative AI? One of the benefits of generative AI is that it allows for faster data analysis and training. This is particularly helpful for complex problems that have a great deal of data.Yann LeCun, the director of AI research at Facebook, says the goal of Generative AI is to "build systems that can generate data, images, and even text and music". What can it help with... it can help you with tasks like:Generating ideasProducing more contentCalling customersAnswering emailsCreating contentTesting ideasAnd more How does Generative AI Work? How does Generative AI work? There are two types of Generative AI:Generative Adversarial Networks (GANs)Automatic Differentiation (AD) What is a Generative Adversarial Network (GAN)?A Generative Adversarial Network (GAN) is a type of Generative AI that creates new data.A GAN is a deep neural network with two main components:A generative model that learns to produce realistic, synthetic dataA discriminative model that classifies generated data as belonging to one of two categories How does Automatic Differentiation (AD) work?Automatic Differentiation (AD) is a type of Generative AI that creates new data.Automatic Differentiation is a technique in which the program is automatically converted into a language that is easier for the computer to understand.The program is converted into a language that is easier for the computer to understand.This is done by replacing the math with finite-differences Why is Generative AI Important? Why is Generative AI Important? The most disruptive aspect of the new AI revolution is that it is not about creating a system that is as dumb as possible, but rather about creating a system that is as smart as possible.This is the only feasible route to true artificial general intelligence and human-level machine intelligence. How many jobs will be lost? Generative AI and machine intelligence will create as many jobs as it displaces.It is a myth that machines are going to replace all human jobs.We live in a world where people are doing less hard work and more knowledge work. The jobs that will be eliminated in the short term are the jobs in which we can’t get any traction with generative AI, either because we can’t get them to do the job well enough, or because they require some form of human judgment, or because they involve repetitive tasks and can’t be broken up into pieces that each require some form of human judgment. For example, if you have a warehouse staffed by robots, the warehouse will have far fewer employees because there are fewer repetitive tasks. How can I learn AI Programming? Learn AI 
Tech stack The first step to get started with AI is to get a framework like TensorFlow, PyTorch, Keras, or one of the many others. These frameworks have pre-built models that we can use to input data and start training our AI. There are a variety of models that we can start using right away. We can train models to identify images, understand text, translate languages, or predict behaviors. For instance, we can train a model to recognize different breeds of dogs. We would set up a training dataset with images of different breeds of dogs and a label indicating which breed the image is. We would then train the model on the data. This is just one of many examples. There are many different pre-built models that can be trained on a variety of different types of data.

What is Generative AI

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This is a quiz Is Meta the owner of Metaverse? Yes No I am not sure What is meta? Is there a single metaverse? Yes there is one metaverse No, metaverse is just a concept Metaverse is science fiction None of the above Is Metaverse the future of the internet? Yes, everything on the internet will move to the metaverse No, both will coexist in parallel I am not sure about this The metaverse is not a reality yet

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What is Cryptocurrency What is Cryptocurrency? A cryptocurrency is a digital or virtual currency that uses cryptography for security. It is defined by the following features:
🚀 It is difficult to counterfeit because of this security feature.
🚀 It is not issued by any central authority, rendering it theoretically immune to government interference or manipulation.
🚀 It is decentralized, i.e. it is not subject to government or financial institution control. Growth of Cryptocurrency 🚀 Bitcoin, the first and most well-known cryptocurrency, was created in 2009.
🚀 There are over 1,600 cryptocurrencies in existence, including Bitcoin, Ethereum, Dodgecoin, Ripple, etc.
🚀 Bitcoin is the most traded cryptocurrency, with a 24-hour trading volume of $33 billion. Ethereum is the second most traded cryptocurrency, with a 24-hour trading volume of $13 billion. Why is Crypto so popular? In addition to being decentralised, and free from (most) government regulations, cryptocurrency became popular because:
🚀 There are no restrictions on the amount of funds you cantransfer, and the market is open24/7.
🚀 Sometimes it can be cheaper to use cryptocurrencies to transfer money versus traditionalbanks. Challenges in the Crypto world Cryptocurrency has a number of disadvantages, including its volatility, complexity, and risk.
The crypto world is also open to attacks, like the 51% attack, that can be used to maliciously manipulate the blockchain. In a 51% attack, a group of miners control more than 50% of the network's mining power, giving them control over transactions, allowing them to double-spend coins, prevent other transactions from being confirmed, etc. Understanding Cryptocurrency Crypto vocabulary 💡 Blockchain: A digital ledger that records all cryptocurrency transactions.
💡 Address: A string of characters that represents a destination on the blockchain.
💡 Block: A group of transaction data that is bundled together and added to the blockchain.
💡 Fiat currency: A government-issued currency that is not backed by a physical commodity. Crypto vocabulary (contd...) 💡 Mining: The process of verifying and adding transaction data to the blockchain. Miners they are typically rewarded with cryptocurrency for their service.
💡 Node: A computer that is connected to the blockchain and helps to maintain the network. Nodes can validate and relay cryptocurrency transactions.&lt;br/&gt;
 Cryptocurrency vocabulary (contd...) 💡 Digital Asset: type of asset that is stored in a digital format. Ex: Cryptocurrencies, NFTs, etc
💡 Digital Wallet: a software program that stores your private keys and allows you to interact with the blockchain.
💡 Private key: a secret code that allows you to spend your cryptocurrency.
💡 Public key: a code that allows you to receive cryptocurrency. Smart contracts and DApps 💡 Smart contract: a computer protocol that can be used to facilitate, verify, or enforce the negotiation or performance of a contract. Smart contracts are often used in the cryptocurrency industry to automate the process of conducting transactions.
💡 DApp: an application that runs on a decentralized network. DApps are often used in the cryptocurrency industry to provide a decentralized and secure way of conducting transactions. Tokens and Airdrops 💡 Token: a type of cryptocurrency that is often used to represent an asset or utility. Tokens are often used in the cryptocurrency industry to raise capital or to provide a way of exchanging value. ERC20 , ERC721, ERC1155 are examples of tokens on the Ethereum blockchain
💡 Airdrop: a type of marketing campaign that involves giving away free tokens to people in order to promote a cryptocurrency project. ICOs v/s STOs 💡 Initial Coin Offering (ICO): a type of crowdfunding that allows startups to raise capital by selling digital tokens.
💡 Security Token Offering (STO): a type of crowdfunding that allows startups to raise capital by selling digital tokens that are backed by a real asset. Crypto slang ✨ HODL: An intentional misspelling of the word "hold" that is often used in the cryptocurrency community.
✨ FOMO: Fear of missing out that could influence you to buy a coin or not cash out on some profits from that coin. 
✨ Whale: An individual or group that owns a large amount of a particular cryptocurrency.
✨ Pump: artificially inflating the price of a crypto so you can sell it at a profit...or dump it.
✨ FUD: fear, uncertainty and doubt that occurs due to misinformation. Making money in the Crypto World Investing and Trading 💰 Cryptocurrency trading is the process of buying and selling cryptocurrencies in order to generate profits. Cryptocurrency trading is a risky activity, and investors could potentially lose all of their investment.
💰 However, cryptocurrency also has the potential to generate significant returns. For example, Bitcoin surged from around $1,000 in early 2017 to nearly $20,000 by the end of the year. Crypto Exchanges 💰 Cryptocurrency exchanges are online platforms where users can buy and sell cryptocurrencies for a fee. Coinbase, Binance, and Kraken are the most popular cryptocurrency exchanges.
💰 A DEX is a decentralized cryptocurrency exchange, that allow users to trade cryptocurrency without the need for a centralized third party. Examples include: IDEX, Bancor, and Waves DEX. Working in the Crypto industry Working in the cryptocurrency industry can be a rewarding experience. The industry is growing rapidly, and there are many opportunities for those with the right skills and experience:
🧑‍💻 Cryptocurrency developer
🧑‍💻 Cryptocurrency Trader
🧑‍💻 Cryptocurrency Miner
🧑‍💻 Crypto Financial Analyst
etc... Crypto for the non-technical people You don't need a technical background to work in the crypto industry. Understanding the world, and having a passion for the field is enough!
🧑‍💻 Crypto journalist
🧑‍💻 Technical writer
🧑‍💻 Research analyst
🧑‍💻 Marketing manager

Cryptocurrency

Why is mixed reality a big deal?

Metaverse: What The Future Of Internet Could Look Like

Ethics in AI

Healthcare and AI

What is Green AI? What is Green AI? Green AI, or Sustainable AI "is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, 
training, re-tuning, implementation, governance) towards greater ecological integrity and social justice."
-Aimee van Wynsberghe Moving towards Green AI AI has grown a lot in the last few years:
🤖 First wave focused on the capabilities of AI, leading to fears of robot uprisings.
🤖 Second wave focused on implementation, Machine Learning techniques, AI ethics, etc.
🤖 Third wave is focusing on sustainability, and moving towards implementation of AI for Good, AI for climate, etc. Why are we talking about Green AI? Studies have revealed that the process of training a deep learning, NLP model can create up to 600,000 lb of carbon dioxide emissions, which is equivalent to the amount of emissions produced by five cars over the cars’ lifetime.
In an era where carbon accounting is vital, this is a major concern for AI ethicists.
It's time to connect AI (its production, development and usage) and the environment. AI for a Green Future AI for a Green future v/s Green AI 🤖 AI for a Green Future, or AI for Sustainability is already developed, especially by the NGO AI4Good, which is exploring the use of AI for achieving United Nations Sustainable Development Goal, which include generation of affordable and clean energy (UNSDG 7). 
🤖 Green AI, or Sustainable AI questions the sustainability of the development of AI and its impact on the environment. Green Issues in AI today AI development is currently responsible for a very high carbon footprint. 
The energy required for developing Deep Learning and NLP models is not derived from carbon-neutral sources.
AI ethicists and green consultants are also concerned about the use of precious energy to develop AI models like AlphaGo which is used beat the world champion of a board game, instead of providing electricity to some of the 600 million people who don't have access to it. How can we avoid these issues? In 2019, Strubell et al made some recommendations in a paper:
👉 In order to reduce the environmental costs of developing AI, policy makers should discourage, or penalise development of AImodels for ethically charged tasks like recruitment, and other HR predictions, etc.
👉 Developers should report training time so carbon accounting can be more accurate, and mitigating efforts intiated.
👉 Development of carbon trackers has been encouraged to track and predict the energy consumption and carbon emissions of training DL models. Implementing Green AI Can AI help build a greener world? 🔮 According to a report by PwC UK, implementing AI levers could reduce worldwide greenhouse gas (GHG) emissions by 4% in 2030, or the equivalent of annual emissions of Australia, Canada and Japan combined.
🔮 “Put simply, AI can enable our future systems to be more productive for the economy and for nature,” - Celine Herweiier, Global Innovation and Sustainability Leader, PwC UK Going green Development of AI can be made more sustainable through simple measures:
 💚 Increase efficiency of AI through reproducibility and sharing of intermediate information.
💚 Upgrade to performance-based hardware to reduce the usage and cost of energy.
💚 Make deep learning more accessible so more work is done in energy efficiency.
💚 Focus on only the most relevant data for training, or efficiently adapt existing models to reduce consumption of energy used in training models. AI for sustainability AI solutions are being implemented to achieve the UNSDG:
💚 AI applications can balance electricity supply and demand needs in real time, while optimising energy use and storage to reduce rates. 
💚 With the development of decentralised energy networks, AI can deploy power to industrial facilities, office buildings, homes, etc.
💚 Modern agriculture is using AI to analyse data for crop yield predictions or climate control. 
etc...

Green AI

What is Carbon Accounting? What is Carbon Accounting? Carbon accounting is the process of tracking and reporting a company’s greenhouse gas emissions. This information can be used to help a company reduce its emissions and achieve net zero. What is Net Zero? Net Zero is a term used to describe a building or other facility that produces as much energy as it consumes on an annual basis. A net zero facility typically generates its own renewable energy, such as solar or wind power, to offset its energy usage. Net Zero v/s Carbon Neutral There is a subtle difference between Net zero and carbon neutral are terms that are often used interchangeably: 
Net zero means that a company or other entity has offset all of its emissions through the use of renewable energy or other means. 
Carbon neutral means that a company or other entity has reduced its emissions to the point where they are no longer having a net impact on the atmosphere. Why are we talking about carbon acccounting? The benefits of carbon accounting include:
🏭 Helping companies reduce their emissions
🏭 Allowing companies to set and track progress towards emissions reduction goals.
🏭 Providing transparency and accountability around emissions.
🏭 Helping investors and other stakeholders make informed decisions about companies. Tracking Carbon Accounting How is Carbon Accounting tracked? There are a number of ways to track and report carbon emissions, but the most common method is through the use of a software program or online tool. These programs allow companies to input data on their energy usage, emissions, and other factors in order to calculate their carbon footprint. Is Carbon Accounting easy? There are a number of challenges associated with carbon accounting, including:
🏭 Complexity: It can be difficult to track all of the necessary data points.
🏭 Cost: Tracking and reporting emissions can be costly, 
🏭 Data quality: The quality of the data used for carbon accounting can vary, which can impact the accuracy of results. Carbon accounting technology There are a number of software programs that can be used for carbon accounting, but some of the most popular options include:
🏭 Greenly
🏭 EcoChain
🏭 Greenhouse Gas Protocol Government Initiatives Paris Agreement ⚠️ The Paris Agreement is an international agreement that was reached in 2015 to address the issue of climate change, with the goal to keep global temperatures from rising more than 2° C.
⚠️ The Paris Agreement is relevant to carbon accounting because it provides a framework for countries to set emissions reduction goals. Kyoto Protocal ⚠️ The Kyoto Protocol is an international agreement that was adopted in 1997 and has since been ratified by 192 countries.
⚠️ The Kyoto Protocol set emissions reduction goals for developed countries, and it includes a system for carbon trading. Clean Development Mechanism ⚠️ The Clean Development Mechanism is a system that was established by the Kyoto Protocol to help developed countries meet their emissions reduction goals. 
⚠️ The mechanism allows developed countries to invest in emissions-reduction projects in developing countries, and they can then receive credits that can be used to offset their own emissions. Careers in Carbon Accounting Future of Carbon Accounting 🌏 More and more companies are beginning to adopt carbon accounting practices, and there is a growing movement to encourage even more companies to do so.
🌏 The various government initiatives, and awareness among companies has led to the growth of career paths in carbon accounting. Working in Carbon Accounting 🌎 If you’re interested in working in carbon accounting, it’s important to have a strong understanding of environmental sciences and data. 
🌎 Salaries in this field vary from $35k to $112k. Working as a Climate Professional There are many roles for climate professionals who want to focus on carbon accounting, including:
🌍 Scientists, who are responsible for conducting research on a company’s emissions and energy usage
🌍 Data analysts, who are collecting and analyzing data on a company’s energy usage, emissions, and other factors.
🌍 Carbon Accounting consultants, who are responsible for carbon accounting processes and methodologies.
etc...

Carbon Accounting

AI in Sales Automation AI in Sales Automation 🤖 AI is increasingly being used in sales for automating data categorisation and analysis, from incoming leads to conversions, cross-selling opportunities, etc. Why do you need AI in sales? 🤔 Like any other field, even sales has a lot of repetitive tasks, especially those related to data, that can be easily automated using AI. 
🤔 Implementing AI solutions helps sales team focus on closing deals, instead of wasting time and energy on clerical tasks, thus increasing over-all efficiency. ` Advantages of using AI in Sales The use of AI in Sales can have several benefits
👍 Increased revenue: by taking away clerical tasks, freeing salespeople to focus on the real work, and providing upselling and cross-selling recommendations.
👍 Time-saving: by relieving salespeople of repetitive administrative tasks (reduced call time by 60-70%). Advantages of using AI in Sales (contd) 👍 Improved customer engagement: by providing a 360° view of customer expectations in order to build trust and loyalty.
👍 Improved forecasting: by providing a real-time picture of each transaction, helping salespeople decide how to proceed. Text Analysis Techniques for Sales Text Analysis 🚀 Text analysis helps sales organisations gain valuable insights from large amounts of data and develop data-driven actions to improve their sales funnel and process. 
🚀 AI powered solutions for text analysis help businesses increase their efficiency and choose the best words for a successful sales pitch. Text Classification 🚀 Text classification enables AI to provide valuable insights by organising and categorising unstructured text. It is one of the best techniques of NLP. 
🚀 Different types of text classification in AI include sentiment analysis, topic analysis and intent detection. Text Extraction 🚀 Text extraction helps to identify key themes and important data in a piece of text by extracting data like dates, timings, prices and other keywords. This technique is very useful for assessing large amounts of data and identify potential sales leads. Word Frequency 🚀 Word frequency is a technique used to identify to most used words by using the numerical statistic TF-ID (term frequency - inverse document) to identify words and expressions used by customers and reuse them in sales pitches. Collocation and Concordance 🚀 Collocation or identification of words that commonly appear together (project management, out of office, etc) help in identifying phrases in successful sales pitches.
🚀 Concordance helps to identify the context of a text and understand how customers use certain phrases in different contexts. Clustering 🚀 Text clustering is unsupervised machine learning and thus enables faster classification by grouping large amounts of unstructured data together, like emails and transcribed phone calls. Lead Generation 🚀 AI solutions allow organisations to categorise customer profiles by analysing their interests, what they post on social media, etc. 
🚀 An AI tool can thus filter through your database and help you identify the most promising leads. Lead Scoring and Prioritisation 🚀 AI solutions can help you evaluate if a customer will convert by analysing third-party and company data, and allowing you to focus your sales efforts on a particular customer. AI as a Sales Automation Tool Lead Generation 🚀 AI solutions allow organisations to categorise customer profiles by analysing their interests, what they post on social media, etc. 
🚀 An AI tool can thus filter through your database and help you identify the most promising leads. Lead Scoring and Prioritisation 🚀 AI solutions can help you evaluate if a customer will convert by analysing third-party and company data, and allowing you to focus your sales efforts on a particular customer. Sales automation AI solutions can automate most of the day-to-day sales tasks:
🚀 Sales workflow management 
🚀 Inbox management
🚀 Document categorisation 
🚀 Categorisation of incoming calls / messages from clients. Forecasting and sales analytics AI solutions also helps to analyse structured data through: 

Predictive (demand) forecasting of potentially successful deals

AI in Sales Automation

AI & Automation

What is Zero Management? What is Zero Waste Management? Zero waste is the practice of using resources in a way that doesn't create waste, by using recycled materials, using less energy, less water, less toxic chemicals, and less packaging.
The zero waste movement has grown rapidly in recent years and there are individuals, businesses and organizations committed to achieving zero waste. Birth of Zero Waste Movement Though the concept of zero waste ca be found throughout the history of civilisation, the Zero Waste movement finds its origins in Daniel Knapp's idea of Total Recycling, and his salvaging operation in Berkeley, California. Timeline of Zero Waste Movement ♻️ 1980s: Daniel Knapp and his wife founded Urban Ore in USA to divert waste from landfills and reuse them productively.
♻️ 1990s: Spread of Daniel Knapp's Total Recycling beyond the USA. 
♻️ 2000s: Zero Waste Alliance founded in New Zealand.
♻️ 2010s: Popularity of Zero Waste Lifestyle through Bea Johnson's blog Zero Waste Home. Zero Waste Movement today ♻️ The Zero Waste International Alliance (ZWIA) estimates that there are now over 20 million tonnes of waste being sent to landfill each year.
♻️ The European Commission and the United Nations Environment Programme (UNEP) have set targets of reducing the amount of waste going to landfill by 2020.
♻️ There are many countries around the world that are leading the way in zero waste: Sweden, Germany, Norway, Denmark and Finland. Why is Zero Waste important? ♻️ The Ellen MacArthur Foundation estimates that the world could save $700 billion each year by 2030 if we reduce waste.
♻️ The World Bank estimates that the world could save $2.6 trillion each year by 2030 if we reduce waste. Understanding Zero Waste Management Principles of Zero Waste Management In order to apply the principles of zero waste management, businesses should:
🌿 Refuse: to use products and materials that are not needed.
🌿 Reduce: the amount of waste by using less resources.
🌿 Reuse: the waste by using it to make new products.
🌿 Recycle: recycle the waste by using it to make new products.
🌿 Compost: the waste and use it as fertiliser. Zero Waste v/s Circular Economy ♻️ The circular economy is based on the principle of "reuse, repair, recycle". It is a more sustainable model than the traditional linear economy because it reduces the amount of waste that is generated.
♻️ The zero waste movement is closely aligned with the circular economy. 
♻️ Both movements share the same goal of reducing the amount of waste that is generated, but the zero waste movement focuses primarily on waste management, than the entire product life cycle. Getting involved 💪 Educate yourself: learn about zero waste and the benefits it can bring.
💪 Educate others: share your knowledge with others and help them understand the benefits of zero waste.
💪 Work in zero management: find jobs in organisations that want to be more sustainable and help bring about a positive change in the industry. Zero Waste Management Resources 🌿 Zero Waste International Alliance: provides resources and support to achieve zero waste.
🌿 Ellen MacArthur Foundation: promotes the circular economy.
🌿 World Bank: provides resources and support to achieve zero waste.
🌿 Zero Waste Europe: a network of businesses and organizations committed to achieving zero waste. Implementing Zero Waste Management Food Industry 💚 The food industry is one of the biggest contributors to waste, because of the way it produces food.
💚 The Zero Waste movement is gaining popularity among restaurant owners. Restaurants that want to be certified as zero waste have to divert 90% of their resources away from trash bins and land refills, by reducing, reusing, or otherwise recycling the vast majority of their ingredients, tools, and other resources, with a high focus on local economies. Construction Industry The construction industry generates a lot of waste, especially concrete and asphalt concrete. In England, 63% of the total waste created in 2016 was attributed to construction, demolition, and excavation waste, while in the US construction and demolition debris in 2015 was nearly 2.5 times the municipal waste.
Much of the waste produced during construction can be recovered and downcycled, or used as fuel for energy. Fashion Industry According to recent data, 92 million tons of textile waste is created annually from the fashion industry. The equivalent of a rubbish truck load of clothes is burnt or sent to a landfill every second.
Waste in the fashion industry is generated because of fast fashion, overproduction, and throwing out items with imperfections.
In addition to altering operations and changing the business mindset in the industry, there is a movement to recycle and reuse old clothes. Careers in Zero Waste Management 🧑‍💻 The zero waste industry is expected to grow rapidly in the coming years. This means that there will be many opportunities for people with the right skills and knowledge to enter the industry.
🧑‍🔬 You can work in zero waste management by helping businesses design and implement zero waste systems, as a Waste Management Consultant, Waste Management Research Scientist, Waste Management Engineer, etc.

Zero Waste Management

What is Green Washing? What is Greenwashing? 🤔 Greenwashing is the practice of making an unsubstantiated or misleading claim about the environmental benefits of a product, service, technology or company practice. Why are we talking about it? 🤔 According to a recent report from the UK’s Advertising Standards Authority, ‘green’ claims have increased by 31% since 2009 and are now the second most complained about advertising.
🤔 The report found that claims about ‘recycled’, ‘recyclable’ and ‘biodegradable’ were the most complained about, with ‘energy saving’ and ‘carbon neutral’ coming in a close second and third. Why is Greenwashing done? 💰 Green washing is a way for companies to seem more ‘socially responsible’ and make money.
💰 More and more consumers are looking for environmentally friendly alternatives to the products they use on a daily basis, so they use green washing to make their products seem more environmentally friendly than they actually are. Is Green Washing ethical? ⚖️ Green washing is not only misleading and unethical, it’s also illegal in many countries.
⚖️ In the UK, the Advertising Standards Authority (ASA) has the power to ban adverts that are misleading.
⚖️ In the US, the Federal Trade Commission (FTC) has the power to take legal action against companies that engage in false and misleading advertising. Green Marketing v/s Greenwashing 💚 Green marketing is a legitimate marketing strategy that can be used to sell products and services that are actually environmentally friendly.
💚 Greenwashing, on the other hand, is a marketing tactic that is used to mislead consumers into thinking that a product or service is more environmentally friendly than it actually is. Seven Sins of Green Washing Sin of the hidden trade-off 👉 This is when a company makes an environmentally friendly claim but the trade-off is that it’s actually not very friendly to the environment.
👉 For example, paper coming from a sustainably harvested forest isn't necessarily a better option, since the paper-making process might not be entirely 'green.' Sin of no proof 👉 This is when a company makes a claim about a product but doesn’t provide any evidence.
👉 For example, some products claim to use recycled materials, but the company doesn’t provide any evidence to back up their claim. Sin of vagueness 👉 This is when a company uses vague language to make a claim about a product.
👉 For example, a a product that contains uranium, mercury, and formaldehyde is 'all natural' but not necessarily 'green.' Sin of the irrelevant claim 👉 This is when a company makes a claim about a product but the claim is irrelevant to the product.
👉 For example, a many air-conditioner brands claim to be 'CFC-free.' Sin of lesser of two evils 👉 A claim that may be true within the product category but risks distracting the consumer from the greater environmental impacts of the category as a whole. 
👉 For example, organic cigarettes or fuel-efficient sport-utility vehicles. Sin of fibbing 👉 Outright lying and false claims about the product with wrong information about materials, or certifications.
👉 Many companies claim to be certified or registered with a green organisation without it being the case. Sin of worshiping false label 👉 This is when a product gives an impression of being endorsed by a third-party, or known figure when that is not the case, thus misleading customers with a 'fake label.'
👉 Some products hint that that they are endorsed by known organisations like PETA, or celebrities that support certain causes, without really obtaining that support. Spotting Green Washing Examples : Volkswagen ⚠️ Volkswagen fit some vehicles with a device with a software that could detect when an emissions test was being conducted and alter its performance. These vehicles were actually emitting up to 40 times the permitted limit for nitrogen oxide polluants. Example: Starbucks ⚠️ In 2018, Starbucks released "straw-less lids" as a sustainable practice, when in fact this lid contained more plastic than the previous ones. In addition, despite claims, there was no proof that the lids were recycled. Example: IKEA ⚠️ It was revealed in 2020 that IKEA's wood certification actually comes from an organisation known to greenwash the timber industry, highlighting IKEA's controversial source of wood. Example: Fashion brands ⚠️ Famous fashion brands like H&M, Zara and Uniqlo have claimed sustainable practices, but they have been criticised for misleading customers because "the information given regarding sustainability was not sufficient." Spotting Greenwashing 👉 Check the label for more information, if you’re unsure about a claim made on a product label.
👉 Do your research to see if the claim made by the company is true.
👉 Be sceptical. If a claim sounds too good to be true, it probably is.
👉 Check the source of the information. If the source is unreliable, the claim is likely to be false. Tips to avoid greenwashing Avoiding Greenwashing 📗 Customer demands for sustainable products and services are increasing, leading companies to the slipper slope of commonly used buzzwords that are not just gimmicky but also misleading.
📗 Inadvertent greenwashing can be avoided by prioritizing sustainability, corporate social responsibility. Be honest 📗 Make sure your claims are clear and easy to understand.
📗 Provide detailed information, like “70% organic cotton” instead of just “made with organic cotton” Avoid buzzwords and gimmicks 📗 Stay away from buzzwords without clear meaning (example: eco-friendly, natural, etc) and branding images that give an impression of sustainable practices. Befriend data 📗 Always support your claims with data, that is kept updated on your website and made easily available to anyone who is interested. 
📗 Try and get certified from reliable sources like Carbon Trust Standard, Forest Stewardship Council, Rainforest Alliance, or Energy Star. Embrace truly green practices 📗Work towards making sustainability a part of your working model, even if it means reduced margins.

Green Washing

What is DeFi? What is DeFi? 💎 DeFi is the shortened form of decentralized finance. It is a term used for a financial system that is based on blockchain technology and runs without the need for a central authority. 

💎 Decentralized finance includes a wide range of applications and protocols that enable users to lend, borrow, trade, and invest without the need for a middleman. Birth of DeFi 👉 The first DeFi protocol was launched in 2015 to provide an alternative to the traditional financial system. Since then, the DeFi space has seen a lot of growth and innovation. Timeline of DeFi 💎 2015: The first DeFi protocol, MakerDAO, is launched. 

💎 2017: The first decentralized exchange, EtherDelta, is launched. 

💎 2018: The first DeFi lending platform, Compound, is launched. 

💎 2019: The total value locked in DeFi protocols surpasses $1 billion. 

💎 2020: The total value locked in DeFi protocols surpasses $13 billion. 

💎 2021: The total value locked in DeFi protocols is expected to surpass $100 billion. DeFi and the future of finance 🔮 DeFi has the potential to disrupt the traditional financial system. DeFi protocols offer a wide range of features and applications that are not available with traditional finance. 

🔮 In addition, DeFi protocols are open to anyone with an internet connection. This means that anyone in the world can access these protocols regardless of their location or financial status. Understanding DeFi Principles of DeFi 🚀 Permissionless: DeFi protocols are open to anyone with an internet connection.
🚀 Borderless: DeFi protocols are available to anyone in the world with an internet connection.
🚀 Censorship-resistant: DeFi protocols cannot be censored or shut down by a central authority. Principles of DeFi (contd) 🚀 Transparent: DeFi protocols are transparent and all transactions are recorded on the blockchain.
🚀 Secure: DeFi protocols are secure and immutable thanks to the use of blockchain technology. Popularity of DeFi 🔥 DeFi is so popular because it offers a number of benefits when compared to traditional finance. Some of these benefits include increased security, privacy, and accessibility. Drawbacks of DeFi 👎 Complexity: The DeFi space is still in its early stages and as such, it can be quite complex for newcomers, making it difficult to understand how protocols work. 
👎 Lack of regulation: The DeFi space is currently unregulated which means that there is no protection for users if something goes wrong. 
👎 Risk of hacks: DeFi protocols are often targeted by hackers due to the high value of the assets that are stored on them. DeFi and Cryptocurrency DeFi v/s Crypto 💡 The main difference between cryptocurrency and DeFi is that cryptocurrency is a digital asset that is used to send and receive payments while DeFi is a financial system that is based on the blockchain technology. 
💡 Cryptocurrencies only offer a limited range of features and applications. In contrast, DeFi protocols offer a wide range of features and applications such as lending, borrowing, and trading. DeFi and Bitcoin ⚡ Bitcoin is a decentralised cryptocurrency that is powered by the blockchain technology. Bitcoin can be used to send and receive payments. 
⚡ However, Bitcoin is not synonymous with DeFi, since it does not offer the same range of features and applications that are available with DeFi protocols. DeFi and Ethereum 🦇 🔊 Ethereum is a decentralized platform that is powered by the blockchain technology. Ethereum can be used to develop decentralized applications. Ethereum also has its own cryptocurrency called Ether. 
🦇 🔊 In addition, Ethereum is home to a number of popular DeFi protocols such as MakerDAO and Compound. Getting started in DeFi Getting started in DeFi 🚀 If you want to get started with DeFi, the first thing you need to do is find a reputable wallet that supports DeFi protocols, and lets you lend, borrow, trade, and invest without the need for a middleman. 
🚀 Once you have found a wallet, you can then start using the various DeFi protocols that are available. DeFi protocols 🚀 MakerDAO: MakerDAO is a protocol that enables users to collateralize their crypto assets and borrow Dai, a stablecoin that is pegged to the US Dollar. 
🚀 Compound: Compound is a protocol that enables users to lend and borrow crypto assets. 
🚀 Uniswap: Uniswap is a protocol that enables users to trade crypto assets.
🚀 Dharma: Dharma is a protocol that enables users to borrow and lend crypto assets. Careers in DeFi 🚀 Developer: Developers are responsible for building and deploying DeFi protocols. 
🚀 Designer: Designers are responsible for creating the user interface and user experience for DeFi protocols. 
🚀 Community manager: Community managers are responsible for managing and growing the community around a DeFi protocol. 
🚀 Researcher: Researchers are responsible for conducting research on DeFi protocols.

DeFi

What is Climate FinTech? What is Climate FinTech? 🪴 Climate FinTech is the intersection of climate, finance, and digital technology. FinTech is helping to mobilize more capital in the pursuit of reducing greenhouse gas emissions, and catalyze decarbonization.
🪴 It is also known as Green FinTech or Sustainable FinTech, What does Climate FinTech include? Climate FinTech covers a wide range of solutions working to make the plant more sustainable:
🪴 Carbon offsetting and Carbon accounting, 
🪴 ESG reporting,
🪴 Climate risk management, 
🪴 Sustainable banking, 
🪴 Supply chain analytics, 
 etc... What is the connection between FinTech and Climate? FinTech has made capital availability, data gathering and processing much faster, transparent and cost effective.
FinTech solutions are thus being seen as enablers and disruptors within climate change. Why are we talking about it? 🪴 According to German venture capital CommerzVentures, Climate FinTech companies raised $1.2 billion in 2021, three times the amount of previous years. Applications of Climate FinTech Payments 💚 Digital payments are responsible for the increase in carbon emissions: approximately 3 g of CO2 for a payment at a merchant, and 4 g of CO2 for a payment on the internet.
💚 Digital consumer payments channels like Alipay and WeBank are developing solutions to enable consumer adoption of green practices via their mobile payments platforms. Banking 💚 Neobanks have introduced a host of green features including decarbonisation tracking of shopping, automatic offsetting of purchased items and tree planting credit cards.
💚 Banks are increasingly open to dredit analysis and project financing for projects focusing on renewable energy, electrification and resource efficiency.
💚 Banks are also using AI to parse alternative data that helps design eco-friendly lending models and issue green bonds. Investment 💚 ESG (Environmental, social, and corporate governance) investments are expected to cross 53 trillion USD by 2025 due to high performance of initial investments, regulatory pressure, increased sustainability-related education of the population, etc. Lending 💚 Tax incentive structures for P2P lending are helping green projects access capital
credit analysis.
💚 AI and big data are being used for better and more transparent loan issuance to a green projects. Risk Management 💚 In this case, risk analysis doesn't imply fighting climate change, but ensuring maximum returns despite climate policy changes and physical climate-induced destruction.
💚 Risk analysis focuses on floods, rising sea level, deforestation, wildfires and other factors that could adversely impact returns. Trading 💚 Carbon trading is a system of buying and selling credits that allow businesses to emit a certain amount of carbon dioxide and other greenhouse gases into the atmosphere, to prevent emissions from exceeding a net total of 570 gigatons.
💚 Energy trading to foster the growth of flexible and decentralised energy infrastructures and reduce line loss effects during transmission. Crypto and Blockchain 💚 Despite the carbon footprint of the mining process of Bitcoin, crypto and blockchain are vital enablers in tracking carbon emissions and consumptions.
💚 Banks are also using blockchain technology to help with green bonds issuance.
💚 Decentralised projects like Klima DAO are pushing organisations towards low-carbon technologies and carbon-removal projects. Examples of Climate FinTech Climate FinTech Landscape Business Models for Climate FinTech solutions Some examples 📗 Stripe's climate removal tool, Stripe Climate, enables online businesses to redirect some of their profits towards emerging technologies focused on reducing carbon footprints.
📗 Trine allows users to invest in clean energy projects.
📗 Carbon Collective is a robo-advisor that helps clients build portfolios with low climate impact investments.

Climate FinTech

What is web3? In short:

Web 3.0 = Web 2.0 + decentralization

Web3 is anything you currently use in the internet and decentralizing it. Web3 is the decentralized web. 

This means that it's not controlled by any authorities, it's controlled by the people belonging to the network.

In other words, Web3 is 'spread' across multiple computers in the world. The power is in the hands of the people. Why do we need Web3? This is because Web3 solves a lot of the problems that Web2 currently has.

Web2 problems:
1️⃣ Centralized
2️⃣ Vulnerable to attacks / single point of failure
3️⃣ Censored 1️⃣ Centralized

Web2 is centralized; power belongs to a single authority.

This means that you DON'T have the power, and any personal data you upload is not yours anymore.

For example, centralized platforms are allowed to track your info, and use it to show you ads! 2️⃣ Vulnerable to attacks / single point of failure

In Web2, you can take down the network by attacking the central authority

For example, if someone wants to take Twitter down, all they have to do is to attack Twitter itself.

This can cause the whole system/app to fail. 3️⃣ Censored

Web2 is censored. Currently, platforms can ban or censor anything they want.

For example, Twitter can ban any account or a Tweet they find inappropiate. How does Web3 solve problems Web3 solves these problems. Web3 is a HUGE game changer to our current web, which is why people keep saying it's the future🔥 

Web3 benefits:
1️⃣ Decentralized
2️⃣ Not vulnerable to attacks
3️⃣ Not censored
4️⃣ No personal data 1️⃣ Decentralized

Web3 is democratic; the power belongs to the people running the network (blockchain).

If you're part of a blockchain and contributed to it, you have a say on how it runs.

You need everyone's approval for anything in the blockchain to change! 2️⃣ Not vulnerable to attacks

Web3 servers are difficult to attack because it's decentralized; meaning it has a bunch of computers running their servers.

To attack a server, you'd have to attack all of the computers in the network simutaneously, & that's nearly impossible to do 3️⃣ Not censored/unstoppable

Web3 isn't censored at all.

For example, Twitter in Web3 wouldn't be banning anything you post.

If something is published in Web3, nobody can take it down and nobody will ban you! 4️⃣ No personal Info.

Making transactions in Web3 doesn't require any personal or bank account info.

You just need wallet. They're easy to set up, and fully controlled by you.

This is different from Web2, which requires your name, email, phone number, & other personal info. Web3 in the real world An example of Web3 is the Ethereum project. It's a world-wide, open source platform for decentralized apps to run on.

You can do a everything you can currently do now, the mild difference being that in Web3, everything is decentralized. Decentralized Finance. Basically, DeFi is a decentralized alternative to the traditional banking system.

DeFi applications are accessible to anyone with an internet connection, and they're maintained by its own users. There's no central authority that can block payments! How does Web3 work Firstly, to access Web3, you need an Ethereum wallet, like MetaMask.

MetaMask is a chrome extension wallet that provides you with a username, which gives you access to all Web3 👇 Essentially, it's like having one username for everything on Web3, rather than different users names and passwords for different platforms. Then, it points to the blockchain (backend) & smart contracts for the data. Lastly, it grabs that info. and goes back to the user.

Web3 101

AI and Banking AI & Banking 🏦 The banking industry has been under pressure in recent years to reduce costs and improve customer service. In response, banks are turning to artificial intelligence (AI) to help them automate tasks, improve decision-making, and better serve their customers. AI implementation in banks 🏦The use of artificial intelligence (AI) in the banking industry is growing. A recent survey found that 40% of banks are using AI, and another 30% are planning to implement AI in the next three years.
🏦 Banks believe that AI will help them improve customer service (61%), reduce costs (57%), and increase revenues (54%). Why are banks using AI? The top three use cases for AI in banking are: 
🏦 Customer service (44%), 
🏦 Fraud detection (41%), 
🏦 Financial planning (37%). Challenges in AI implementation The top three challenges of AI in banking are regulatory uncertainty (48%), ethical concerns (44%), and cost (41%). Use of AI in Banking Automating customer service 🤖 Banks are using AI-powered chatbots to handle customer service tasks such as answering account questions, providing account balances, and scheduling appointments. 
🤖 The use of AI and chatbots had reduced the load on branches, internet banking, etc. Improving fraud detection 🤖 Banks are using AI to help detect and prevent fraud by analyzing customer behavior and transactions. 
🤖 The AI model "Black Forest" has been developed to analyse transactions and record suspicious cases, thus helping to fight financial crime, money laundering and tax evasion. Personalizing the customer experience 🤖 Banks are using AI to personalize the customer experience by providing recommendations based on customer data. Streamlining the loan process 🤖 Banks are using AI to streamline the loan application process by automating the underwriting and decision-making process.
🤖 AI solutions can determine the creditworthiness of clients by analyzing data from a wide range of data sources, allowing lenders to develop robust credit scoring models, even when there is a limited credit history. Enhancing security 🤖 Banks are using AI to enhance security by monitoring customer behavior for suspicious activity and flagging potential fraud. Improving financial planning 🤖 Banks are using AI to help customers plan their finances by providing recommendations on products, services, and investments. Challenges in implementing AI in banks Regulatory uncertainty 📝 There is regulatory uncertainty surrounding the use of AI in the banking industry. 
📝 Banks are concerned about the potential for regulatory action if they use AI in a way that is deemed to be unfair or discriminatory. Ethical concerns 📝 There are ethical concerns about the use of AI in the banking industry. Banks are using AI to make decisions about customer creditworthiness and loans, which could have a negative impact on customers. Security concerns 📝 There are security concerns about the use of AI in the banking industry. Banks are using AI to detect and prevent fraud, but there is a risk that criminals could use AI to exploit vulnerabilities in the system. Privacy concerns 📝 There are privacy concerns about the use of AI in the banking industry. Banks are using AI to personalize the customer experience, but this could lead to customers’ personal data being mishandled. Implementation costs 📝 The cost of implementing AI can be a barrier for some banks. AI requires investment in hardware, software, and personnel, which can be costly. Careers for AI experts in banking Data Scientist 💡 Banks, like any other industry, need data to grow their business and attract customers.
💡 Data scientists use AI to analyze customer data and identify trends. They play a crucial role in fraud detection, developing recommendation engines, improving customer support, etc. Machine learning engineer 💡 Machine learning engineers develop and implement algorithms that enable computers to learn from data.
💡 Banks use ML for developing predictive analytics, which help them uncover events and see the correlations in user behavior, which may signal fraud. Business analysts and product managers 💡 Business analysts and product managers use AI to understand customer needs and develop strategies to improve the customer experience.
💡 They are also responsible for identifying opportunities for AI, designing AI solutions, managing AI projects, and ensuring that AI solutions are aligned with business objectives of the bank. Sales and Marketing strategists 💡 Sales executives use AI to identify and target potential customers for the bank. 
💡 They work closely with the marketing strategists who are responsible for developing and executing marketing campaigns to attract customers and build customer loyalty. 
💡 Sales and marketing teams are using AI to analyse data and improve their efficiency.

AI and Banking

Future of Cryptocurrency 2022 What's next for cryptocurrency in 2022? 🔮 The first half of 2022 was disastrous for cryptocurrency enthusiasts. Both Bitcoin and Ethereum were down by more than 50% after their all-time high in 2021. 
🔮 Experts have studied the markets and come up with projections for the second-half of 2022. Ups and downs are normal The crypto industry is still in its infancy, and thus still evolving. It is extremely normal for the market to experience instability, and highs will be followed by lows. Let's talk to the experts Experts have studied the market and come back with predictions for:
👉🏿 Cryptocurrency regulation
👉🏿 Future of NFTs
👉🏿 Future of DeFi
👉🏿 Future of Bitcoin
👉🏿 Future of Ethereum
👉🏿 Future of Cryptocurrency Cryptocurrency Regulation Why are lawmakers interested? 💎 The recent crash of Terra Luna has led to a deep interest in stablecoin regulation amongst US law officials. 
💎 Lawmakers are interested in crypto regulations so they can make investments safer, and reduce cybercrimes in this space. Will crypto be banned? 😨 Many countries have considered banning cryptocurrencies, but it's more likely that stricter regulations will be introduced.
😨 Though regulations will make the crypto space safer for investors, it will also make it less attractive. What will the new regulations mean? Though it is worrying investors right now, crypto regulations will be better for the industry:
💡 More stability and reduced volatility.
💡 Protection for long-term investors.
💡 Prevention of fraudulent activities.
💡 Increased confidence in the crypto market. Future of NFTs Are NFTs just a fad? 🤑 NFTs have been around since 2014, but they saw a crazy boom in 2021, when sales went from 95 million USD in 2020 to a record 25 billion USD! 
🤑 However recent data shows that the buzz around NFTs is slowly reducing. Decline of NFTs ⬇️ The downfall of the crypto market has obviously had an impact on the value of NFTs as well.
⬇️ Buying NFTs has become "riskier" and ill probably lead to lesser "joy" even amongst genuine collectors. 
⬇️ In the coming months, expert suggest limited long-term investments in NFTs. Future of DeFi DeFi and the Wild West 🤠 DeFi is currently in its infancy with the same "Wild West" feels of the early days of the Internet with basic websites and chat rooms. 
🤠 According to Dr. Merav Ozair, blockchain expert and a fintech professor at Rutgers Business School, “the next step is figuring out how to make good code and kick everything up a notch.” To invest, or not to invest in DeFi? 🤔 While DeFi is a smarter investment than NFTs, there are very few regulations to protect you. 
🤔 On the other hand, investing in DeFi is more interesting and will give you much more freedom and control than traditional investments. Future of Bitcoin Swinging prices of Bitcoin ⬆️ ⬇️ Bitcoin was up to 68000 USD in November 2021, but the value came crashing down in 2022 to 17500 USD.
⬆️ ⬇️ Experts believe that the value could fall all the way down to 10000 USD. 
⬆️ ⬇️ The current macroeconomic uncertainty, unstable stock market, fears of recession etc have all had an adverse impact on Bitcoin. To invest, or not to invest in Bitcoin? ⬇️ Bitcoin is likely to continue being volatile and yield little to no short-term gains. 
⬆️ Experts suggest investing in Bitcoin ONLY if you are in for long-term growth. Future of Ethereum For the love of Ethereum 🦇 🔊 The second largest cryptocurrency, Ethereum has been a crowd favourite for a while.
🦇 🔊 It's value grew from 0.311 USD at the time of its launch in 2015 to 4800 USD in late 2021. 
🦇 🔊 Despite its current downfall, experts believe that Ethereum has the potential to climb again in 2022. A make or break year for Ethereum 🔮 Experts believe that the massive upgrade scheduled for September to a less energy-intensive version which will make the Ethereum network faster, more efficient and cheaper will have an impact on the value of Eth.
🔮 Eth could break even at 4000 USD again, and some believe that the value could even go up as high as 12000 USD. Invest and forget 🔮 The extreme volatility of the market is not ideal for those looking for short-term gains. Experts advice for crypto investment is to "set it and forget it."
🔮 The best way to win in crypto investment is to avoid emotional reactions to the ups and downs, keep investments small and prudent...and never put crypto investments above any other financial goals.

Cryptocurrency Predictions 2022

Cybersecurity and Finance Need for Cybersecurity in Finance 🔐 Financial institutes handle large amounts of sensitive data. If this data were to fall into the wrong hands, it could be used to commit fraud or identity theft. 
🔐 Financial organisations are increasingly relying on technology to carry out their day-to-day operations. However, this reliance on technology has also increased the risk of cyberattacks. Cybersecurity in Finance 🔐 In order to protect themselves, financial institutes need to put in place the necessary measures to reduce the risks posed by these threats. Cybersecurity measures help to protect customer data and keep it out of the hands of criminals. Cybercrime and Financial Organisations The financial services industry topped the list of 26 different industries targeted by cyber criminals, making financial organisations most vulnerable to cyber-attacks.
They are also more susceptible to malicious email traffickers, as consumers are seven times more likely to be the victim of an attack originating from a spoofed email with a bank brand v/s one from any other industry. Cyber Attacks in Finance Cyber attacks faced by financial organisations ⚠️ According to a report by VMware 63% of financial institutes faced a spike in cyberattacks in the last year. 
⚠️ The most common types of cyberattacks on financial institutes are phishing attacks, ransomeware attacks, SQL injection attacks, and denial of service attacks. Cyber attacks and Island hopping ⚠️ Island hopping refers to "the process of undermining a company's cyber defenses by going after its vulnerable partner network, rather than launching a direct attack." (Source: IT Pro
⚠️ VMare's study found that 60% of financial organisations had seen an increase in island hopping last year. API attacks ⚠️ The rise of FinTech and increase of mobile and web technologies has left organisations vulnerable to API attacks. VMware's report revealed that 94% of financial organisations had faced API attacks between 2021 and 2022. A typical cyber-risk heat map for the banking sector Cyber security strategies Common strategies to deal with cyber attacks 👉 Investing in cyber security and implementing security best practices.👉 Working with law enforcement to investigate and prosecute cyber criminals.
👉 Improving customer communication to help them understand what can happen and how they can take to protect themselves.
👉 Offering cyber security training to employees to help them understand how to protect themselves and the organisation from cyber attacks. Secure, vigilant and resilient Deloitte proposes a multi-pronged approach to increase cybersecruity in financial organisations:
📌 Secure: better risk and compliance controls to protect against any potential threats, and comply with industry standards for cybersecurity.
📌 Vigilant: Actively detect violations and anomalies through better monitoring and vigilance.
📌 Resilient: Establish a protocol to enable quick return to normal operational activities in case of a cyber attack. Budget priorities for cybersecurity According to VMware's report, Chief Information Security Officers of financial organisation were planning a 20%-30% increase in cyber security budgets in 2022 with a focus on:
💵 XDR / Extended Detection and Response 
💵 Workload security
💵 Mobile security
💵 Threat intelligence
💵 MDR / Managed Detection and Response Careers in Cybersecurity in FinTech There is a growing demand for careers in cybersecurity in banks. Some common roles include: 
🧑‍💻 Security analysts 
🧑‍💻 Security engineers
🧑‍💻 Security consultant
🧑‍💻 Security manager
🧑‍💻 Threat hunters Career opportunities in Cybersecurity Security Analysts Security analysts are responsible for identifying and assessing security risks, and developing and implementing plans to mitigate those risks. They have to be excellent in cyber security disciplines including asset security, security engineering and identity and access management. Security Engineers A security engineer designs and implements security systems, and may also be involved in testing and evaluating security systems. They have degrees in Computer Science or engineering, and have experience in some cyber security-related duties like incident detection and response, and forensics. Security consultants A security consultant provides advice and guidance to organizations on how to improve their security posture. They have at least 5 years of experience in cyber security, as well as certifications like Cyberseek, include: Certified Information Systems Security Professional (CISSP). Security Managers A security manager is responsible for developing and implementing security policies and procedures, and overseeing the work of the security team. They have extensive experience in cyber security, companies in addition to a management degree. Threat Hunters A threat hunter is responsible for proactively searching for security threats, rather than waiting for threats to be detected by security systems. Threat hunters use a variety of techniques, including data analysis, social media monitoring, and malware analysis.

Cybersecurity & Finance

What is a Neobank? What is a Neobank? 🏦 A neobank is a digital bank that offers online banking services without the need for a physical bank branch. 
🏦 Neobanks typically offer a mobile app and a website, and they may also offer a debit card. 
🏦 Many neobanks offer features such as budgeting tools, savings goals, and the ability to track your spending. Neobanks and FinTech 📱 Neobanks are a type of Fintech company, that use technology to provide financial services, and are typically startups or small businesses. 
📱 Other types of Fintech companies include peer-to-peer lending platforms, digital currency exchanges, and mobile payment apps. Growth of Neobanks 🏦 Neobanks first emerged in the early 2010s, and they have since grown in popularity. Simple was the first neobank, founded in 2009. It was acquired by BBVA in 2014. 
🏦 The number of neo banks has increased rapidly in recent years, and they are now available in many countries around the world. The most well-know Neobanks include: Ally Bank, Chime, N26, Simple, and Varo Money. Neobanks v/s Traditional banks Neobanks v/s Traditional Banks Advantages of Neobanks 👍 Neobanks typically offer a more user-friendly interface than traditional banks.
👍 They offer a wider range of features than traditional banks, such as budgeting tools and the ability to track your spending. 
👍 Neo banks typically have lower fees than traditional banks, since they have no physical bank branches. Disadvantages of Neobanks 👎 Neo banks may not offer some of services of traditional banks, like loans, etc.
👎 Neo banks aren't available in all countries, and may not be FDIC insured. Impact and challenges Threat to traditional banks 🏦 Traditional banks have the advantage of long-lasting client relationships and trust, but they haven't been able to develop innovative user experiences.
🏦 With the customer-centric approach, Neobanks are outperforming traditional banks in customer service and product offerings.
🏦 The heavy documentation requirement and formalities of traditional banks are also driving customers to neobanks. Impact on Neobanks in FinTech 📱 The flexible and inclusive nature of Neobanks is allowing them to serve underserved customers.
📱 Neobanks are also creating a segmentation in the banking sector, by focusing on niche services. Famous examples include Habito for mortgages, and Revolut and TransferWise for international transfers. Challenges faced by Neobanks 📌 Customer Acquisition : a Forbes report revealed only 3% of millennials, 1.5% of Gen X had primary accounts in Neobanks.
📌 Monetisation: Freemium options may attract customers, but the failure to convert them from free to premium customers can be a challenge, like Zuno discovered after losing $130 million
📌 KYC and Security: The less strict omboarding has left Neobanks vulnerable to fake identities and fraud. Working in Neobanks Career opportunities in Neobanks 🤑 There are a number of career opportunities available in neo banks. Some of the most common positions include customer service representatives, software developers, and product managers. Working as a Digital Banker 💡 Neobankers have the responsibility of acquiring new customers, and meeting sales targets for mobile banking activation and usage. 
💡 They also have to participate in product campaigns to ensure that customers have access to product information & exceptional customer services. FinTech jobs in Neobanks 👉 Finance Operations
👉 Accountants
👉 Risk and Compliance Experts
👉 Bank Operations & Payment Experts
👉 Software and Data Science engineers
....etc. Non-Financial jobs in Neobanks 👉 Product Design
👉 Product Managers
👉 Product Marketing
👉 Brand Design Managers
👉 UX writers
....etc.

Neobanks

What is Robotics? What is Robotics? "Robotics is an interdisciplinary branch of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans." 
Source: Wikipedia What does that mean? Robotics engineers design and build robots, and program them to perform specific tasks traditionally done by humans, but now done by robots because they are :
✨ repetitive and can be easily automated.
✨ dangerous and have to be completed in hazardous environments.
✨ complex and require intricate procedures that are difficult for humans. Growth of Robotics industry 🦾 The first robots were created in the early 20th century. They were used mostly for manufacturing tasks. 
🦾 In the late 20th century, robots began to be used in healthcare and the service industry. 
🦾 In the 21st century, robots are becoming increasingly advanced and are being used in a variety of different fields. Value of robotics industry 🦾 The global robotics market is expected to reach $37.4 billion by 2025. The healthcare robotics market is expected to grow from $2.5 billion in 2020 to $11.5 billion by 2025. The service robotics market is expected to grow from $4.1 billion in 2020 to $14.6 billion by 2025. Robots aren't science fiction Robots in real life 🦾 Drone deliveries
🦾 Mechanical welding arms
🦾 Self-driving cars
🦾 Autonomous machines
🦾 AI-based sorting mechanisms Use of Robotics today 🤖 Robots are used extensively in manufacturing and assembly operations, in research and development, and in the production of goods and services in many different industries including automotive, aerospace, semiconductor, food and beverage, pharmaceutical, and consumer electronics.
🤖 Some of the leading robotics companies include Boston Dynamics, iRobot, and Honda. Job roles in Robotics 🤖 Robotics jobs encompass a wide range of responsibilities, from designing and building robots to programming and operating them. 
🤖 Jobs in robotics can be found in research and development, manufacturing, assembly, and operations. Working in robotics Career options in Robotics - 1 🤖 Robotics Engineers: work with scientists and innovators to develop robots.
🤖 Electromechanical and Robotics Technicians: are responsible for testing, operating, and repairing drones, electromechanical systems, and automated machines.
🤖 Aerospace engineers: develop systems to control flight systems, sensors, and regulatory devices, design and develop unmanned aerial devices. Career options in Robotics - 2 🤖 Design engineers: work with the mechanical engineering team to design and implement the visual appearance of the robot.
🤖 UI/UX designers: are responsible for creating interfaces that allow users to to operate the robotic system, understand its functionalities, and get operation insights.
🤖 Computer scientists and software engineers: use computer programming fundamentals and programming languages to automate the robots. Working in Robotics There are many different skills required in robotics, including engineering, computer science, and mathematics. While an advanced degree in robotics, aeronautical or mechanical engineering, or software programming is essential, children can start early by participating in Lego Robotics (Mindstorm) to develop the right skills and aptitude for the field. Major fields in Robotics Application Robots are appearing in every sphere of life, but the top field of robot applications are:
🤖 Programming
🤖 Mobility or Locomotion
🤖 Operator Interface
🤖 Sensing and Perception
🤖 Manipulator and Effectors

Robotics

What is AR and VR? Augmented Reality and Virtual Reality ✨ Augmented Reality is a technology that allows users to interact with digital content in the real world. 
✨ Virtual Reality is a technology that allows users to interact with digital content in a virtual world. History of Augmented Reality ✨ The first AR system was developed in the 1960s by Ivan Sutherland, and the first VR system was developed in the 1970s by Myron Krueger. 
✨ The first commercial AR system was developed in the 1990s by Vuforia. The first commercial VR system was developed in the 2010s by Oculus. Why are we talking about them? ✨ AR and VR offer a unique and immersive experience, and are used in a variety of industries, including gaming, entertainment, healthcare, education, and retail. 
✨ According to Statista, the global augmented reality (AR), virtual reality (VR), and mixed reality (MR) market reached 28 billion U.S. dollars in 2021, rising to over 250 billion U.S. dollars by 2028. How are AR & VR being used in the industry? ✨ Gaming: to create immersive experiences. 
✨ Entertainment: to create experiences such as virtual concerts and movies. 
✨ Healthcare: to create training and simulation of procedures and treatments.
✨ Education: to create educational applications such as virtual field trips. 
✨ Retail: to create experience stores and product demos. Working in AR and VR Working in AR and VR There is a growing demand for professionals well-versed in the AR and VR world, across industries and company sizes:
🚀 AR and VR software developers
🚀 AR/VR maintenance support
🚀 Design and graphics engineers
🚀 Gameplay and Tools engineers
🚀 3D Artists
... etc. Becoming an AR/VR developer An AR/VR developer creates AR and VR applications. If you're interested in becoming an AR/VR developer, you should acquire the following skills: 
✨ 3D modeling and animation tools like Maya, 3ds Max, and Blender.
✨ Game development on game engines like Unity, Unreal Engine, and CryEngine. 
✨ Programming languages like C#, C++, and Java, and the ability to use AR/VR development platforms like Vuforia, ARToolKit, and Wikitude
✨ Creativity, critical thinking and a high learning agility Career prospects of an AR/VR developer 💰 AR/VR developers earn up to 130k USD. While the demand for VR developer jobs is growing at 4.5% a year, there is much more growth seen in AR, with a whooping 64.4% growth in job creation. AR/VR applications and the future of work AR and VR are expected to have a major impact on the future of work. AR and VR will change the way we work by increasing efficiency and productivity, and by providing new opportunities for remote work and collaboration. Elements of AR VR applications Key elements of an AR/VR experience ⚙️ Tracking: the process of monitoring the position and orientation of the user's head and devices in relation to the real world. 
⚙️ Display: the process of displaying digital content in the user's field of view.
⚙️ Interaction: the process of allowing the user to interact with the digital content. 
⚙️ Content: the digital content that is displayed to the user. What technology is used in AR and VR? 🚀 Headsets: to display digital content. Common headsets include the HTC Vive, Oculus Rift, and Sony PlayStation VR. 
🚀 Sensors: to track the position and orientation of the user's head and devices. 
🚀 Controllers: to allow the user to interact with the digital content. Common controllers include the HTC Vive controller, Oculus Touch, and Sony PlayStation Move. Designing an AR/VR application The process of designing an AR/VR application can be broken down into the following steps: 
🔥 Define the goals of the application. 
🔥 Create the 3D models and assets. 
🔥 Integrate the assets into the game engine, in order to create the immersive experience. 
🔥 Test the experience on the target device.

Augmented and Virtual Reality

The future of Ux The future of Ux content

The Future of Ux - a career in design

The myth of the solopreneur The myth of the solopreneur content

The Myth of the Solopreneur

Why Mixed Reality is such a big deal - a video Video on Mixed Reality

Why is Mixed Reality such a big deal?

Video on the future of work A video on Metaverse and the Future of work content

Metaverse and the future of work

What is Mixed Reality? What is Mixed Reality? "Mixed reality is the merging of real and virtual worlds to produce new environments and visualizations, where physical and digital objects co-exist and interact in real time." 
Source: Wikipedia What does that mean? ✨ Think of the recent Snapchat filters you've used, or virtual make-up apps, or even games asking you to fit furniture of virtual spaces.
✨ All of these experiences bring together physical, human and digital experiences to offer a new mixed reality experience.
✨ Mixed reality can be used in a number of different settings, including education, training, entertainment, and healthcare. Let's look at an example Key principles of Mixed Reality Virtual Reality v/s Augmented Reality v/s Mixed Reality ✨ Virtual reality (VR) is a completely immersive experience in which users can interact with and explore a computer-generated environment. 
✨ Augmented reality (AR)AR is a technology which enhances the real-world environment with computer-generated images 
✨ Mixed reality (MR) is a technology that combines real and virtual objects in a single space. Mixed reality v/s XR There is a lot of confusion regarding Mixed Reality and XR:
✨ XR is a catch-all term that refers to any type of immersive experience. This includes both augmented reality and virtual reality experiences. 
✨ Mixed reality, on the other hand, is a specific type of XR. Key elements of Mixed Reality Mixed reality is a blend of the physical and digital worlds, and includes:
✨ natural / human interactions
✨ computer / digital interactions
✨ environmental interactions. Examples of Mixed Reality ✴️ Heads-up displays: to project digital information onto a transparent display in the user's field of view. 
✴️ Projection systems: to display digital information onto real-world surfaces.
✴️ Spatial mapping: using sensors to create a 3D map of the user's environment, which can be used to place virtual objects in the real world.
✴️ Gesture recognition: to allow users to interact with digital information using natural body movements. Mixed Reality & the future of work Use cases of Mixed Reality Mixed Reality can be used to enhance experiences, and improve the expected results in many cases:
✅ Education: create more immersive and realistic learning experiences
✅ Marketing: increase customer engagement and drive brand loyalty
✅ Healthcare: accelerate diagnoses, broaden access to healthcare, reduce infection transmission
✅ Culture: enhance experiences at cultural events, museums and heritage sites. Mixed Reality in Marketing 💡Creating a realistic and believable experience, through immersion by using 3D audio and haptic feedback, etc. 
💡 Allowing the user to interact with the content, by using a variety hand gestures, voice commands, etc. Mixed Reality in Education 💡Enhancing remote education: by using 3D projections and simulations
💡Enabling deeper understanding by using holograms so students can visualise certain operations, like in medical school, mechanical engineering etc. Mixed Reality in Heathcare 💡 Real-time diagnostics by using MR glasses that can overlay digital images over a patient's body. 
💡Image guided surgeries by using specialised MR devices that provide a comprehensive view of the patient's condition. Mixed Reality & the future of work "The global mixed reality market was valued at USD 553.27 million in 2020 and expected to reach USD 5811.09 million by 2026 and grow at a CAGR of 47.9% over the forecast period (2021 - 2026). "
Source: Mordor Intelligence Industry Reports

Mixed Reality

What is the Circular Economy? What is a circular economy? 🟢 The circular economy is an economic system where goods are designed, produced, and used in such a way that waste and pollution are minimized. In a circular economy, there is no such thing as waste, because everything is either reused or recycled. Linear economy v/s Circular economy 🟢 In a linear economy, goods are made, used, and then thrown away. This causes a lot of waste and pollution. 
🟢 In a circular economy, waste and pollution are minimized because goods are designed to be reused or recycled. This helps to conserve resources and protect the environment. History of the circular economy 🟢 The circular economy is a relatively new concept. It was first proposed by German chemist and economist Walter Stahel in the 1970s, who believed that a circular economy would be more efficient and would reduce waste and pollution.
🟢 British chemist and environmentalist John T. Elliott further developed the concept of the circular economy in the 1990s. Growth of the circular economy 🟢 The circular economy has gained popularity in the last few years, and many countries, businesses, and organizations are beginning to adopt circular economy principles.
🟢 It has been estimated that the circular economy could save the European Union (EU) up to 600 billion Euros (about $700 billion US) per year by 2030. Circular economy and the future of work 🟢 The circular economy also has the potential to create jobs. 
🟢 A study by the Ellen MacArthur Foundation found that the circular economy could create up to 1 million new jobs in the EU by 2030. Principles of the Circular Economy Principles of a circular economy According to Ellen McArthur Foundation's Definition Of Circular Economy, the three principles of a circular economy are:
✳️ Design out waste and pollution 
✳️ Keep products and materials in use 
✳️ Regenerate natural systems Schema for circular economy - Acevedo, Sasha & Diaz, Alvaro & Flórez-López, Edwin & Grande Tovar, Carlos. (2021) Some circular economy practices ✳️ Product redesign: making products that are easier to repair, last longer, and can be reused or recycled 
✳️ Extended producer responsibility: making manufacturers responsible for the environmental impacts of their products 
✳️ Product-as-a-service: renting or leasing products instead of buying them Some more circular economy practices ✳️ Shared ownership: owning products jointly with others 
✳️ Repair and reuse: repairing products instead of discarding them
✳️ Recycling and upcycling: recycling materials from used products to make new products Promoting the Circular Economy Rethinking the way we produce & use products The circular requires a change in the way we think about and use products: 
🤔 We need to think about how to keep products in use for as long as possible, and how to recycle or reuse them when we are done with them.
🤔 This requires a change in consumer behavior, as well as changes in the way products are designed and manufactured. Lack of infrastructure ⚠️ The circular economy is not yet widely practiced. This means that there is not always a infrastructure in place to support it, and implement a circular economy on a large scale.
⚠️ For example, there may not be enough recycling facilities to recycle all of the materials that are used in a circular economy. Barriers to the circular economy 🚫 Technological : Lack of data on feasibility and impact, challenges in design & development
🚫 Market: Limited awareness of the value proposition, lack of funding, etc
🚫 Regulatory: Lack of global consensus, obstructive laws & regulations
🚫 Cultural: Limited willingness to participate in the circular economy, because of a long-standing dependence on the linear economy. Circular economy & big brands Circular economy & big brands Big businesses that have adopted circular economy principles include industrial organisations, and big brands like IKEA, Philips and fashion brands like H&M, Nike etc. IKEA 💚 IKEA has introduced a furniture rental service in Switzerland. 
💚 Customers can rent furniture for a short period of time, and then return it when they are finished. 
💚 Some of their outlets also have a Circular Hub, where people can purchase used IKEA products. H&M 💚 H&M has launched a clothing recycling program in which customers can bring old clothes to H&M stores, and the clothes will be recycled into new products. Philips 💚 Philips has developed a light bulb recycling program. Customers can bring old light bulbs to Philips stores, and the light bulbs will be recycled into new products. Nike 💚 Nike has introduced a shoe recycling program. Customers can bring old shoes to Nike stores, and the shoes will be recycled into new products.

Circular Economy

How is AI changing the future of Design? Impact of Artificial Intelligence on design Artificial Intelligence isdisrupting design in a number of ways:
✨ AI can be used to create realistic 3D images of products that do not yet exist, allowing designers to visualize and iterate on new designs faster. 
✨ AI can be used to generate new design ideas based on existing designs, leading to more innovative products. Stimulating creativity 🤖 AI solutions are taking over some of the repetitive and time consuming tasks of designers, like identifying patterns, creating variations of the design in different colours, resizing, etc. Nutella Unica In 2017, an algorithm was used to pull patterns and colours and create 7 million versions of Nutella's graphic identity, which were used on different jars in Italy. Enriching user experience 🤖 AI solutions help designers by identifying designs and patterns, providing insights on user preferences and behavior. This helps designers create consistent and user-friendly designs. Threat to Designers Is AI threatening designers' jobs? 🤖 Like every other field where AI is making steady progress and disrupting the way we work, AI is also disrupting design. 
🤖 While certain functions in the design process will be automated, AI will never be able to completely replace human designers. DALL.E & the future of design DALL.E is a neural network that has been trained to generate images from textual descriptions:
💡 According to OpenAI, DALL.E 2 "uses a process called “diffusion,” which starts with a pattern of random dots and gradually alters that pattern towards an image when it recognizes specific aspects of that image." Is DALL.E a threat to designers? DALL.E 2 can definitely disrupt the work of many designers, artists, photographer and visual content creators:
💡 DALL.E generated images can substitute expensive stock images
💡 Small business owners and solopreneurs can use DALL.E generated images to avoid interacting with & spending on (more) costly designers. DALL.E generated image An example of images generated by DALL.E to avoid using expensive stock photos. AI & Creativity Enhancing business opportunities Sam Altam of OpenAI believes that DALL-E can enhance creativity for businesses: "It’s an example of a world in which good ideas are the limit for what we can do, not specific skills."
With DALL-E the limitation of creating beautiful images is taken away, allowing entrepreneurs to focus on making their business solutions creative. Virtual assistant for designers OpenAI researcher Mark Chen feels that DALL-E can unlock deeper creativity for designers because it isn't always easy to create imagery. DALL-E and the future of design DALL-E can help designers & marketers:
🚀 Create unique images for websites, blog posts, ebooks, videos and social media. 
🚀 Create unique and creative logos.
🚀 Generate mockups to inspire human designers to create more complex visual designs.

AI in Design

What is Rick & Compliance? What is Risk & Compliance? Risk & Compliance in finance is the process of identifying and managing risks to ensure compliance with laws and regulations. Risk & Compliance Officers work with all levels of management to develop and implement policies and procedures to minimize risk and protect the organization. Why do financial organisations need Risk & Compliance Officers? Risk & Compliance Officers play a vital role in ensuring that organizations operate within the bounds of the law and protect themselves from potential liabilities. By identifying risks and implementing mitigation plans, they help organizations avoid costly penalties and legal action. Risk & compliance issues in the news There are always risk and compliance issues making headlines in the news. Some recent examples include: 
❌ The Panama Papers 
❌ The Wells Fargo fake accounts scandal 
❌ The Enron scandal Risk & compliance issues Risks faced by financial organisations 📌 Credit risk – the risk of loss if a borrower defaults on a loan 
📌 Market risk – the risk of losses due to changes in market conditions
📌 Operational risk – the risk of losses due to errors or fraud 
📌 Regulatory risk – the risk of losses due to changes in regulations
📌 Reputational risk – the risk of losses due to damage to an organisation's reputation Compliance issues faced by financial organisations? 📌 Anti-money laundering – the risk of being fined or prosecuted for failing to comply with anti-money laundering regulations 
📌 Consumer protection – the risk of being fined or prosecuted for failing to comply with consumer protection regulations 
📌 Data privacy – the risk of being fined or prosecuted for failing to comply with data privacy regulations 
📌 Tax – the risk of being fined or prosecuted for failing to comply with tax regulations What does a Risk & Compliance Expert do? 👉 A Risk & Compliance Expert is responsible for identifying and mitigating risks within an organization. 
👉 They work with all levels of management to ensure compliance with laws and regulations.
👉 Additionally, they develop and implement policies and procedures to minimize risk and protect the organization. Becoming a Risk & Compliance Expert Becoming a Risk & Compliance Expert A risk & compliance expert should have:
👉 Strong analytical and problem-solving skills
👉 Excellent communication and interpersonal skills
👉 Strong organizational and time management skills
👉 Ability to work independently and take initiative Secret Powers of a Risk & Compliance Expert 🪄 Knowledge of risk management principles and practices
🪄 Knowledge of relevant laws and regulations
🪄 Familiarity with risk management software Job outlook for Risk & Compliance Officers The job outlook for Risk & Compliance Officers is positive, with a projected growth rate of 5% from 2019 to 2029.
Source: U.S. Bureau of Labor Statistics Responsabilities & Challenges Jobs in Risk & Compliance 📌 Financial analysts
📌 Risk assessment specialists
📌 Compliance officers and auditors
📌 Operational risk managers
📌 Information security specialists Responsibilities of Risk & Compliance Experts Risk & Compliance Officer tasks may include:
✴️ Conducting risk assessments
✴️ Identifying potential risks and vulnerabilities
✴️ Developing and implementing risk management plans Responsibilities of Risk & Compliance Experts ✴️ Monitoring compliance with laws and regulations
✴️ Investigating potential violations
✴️ Coordinating with different departments to mitigate risks
✴️ Providing training on risk management and compliance Pro-tips, laws & more. Challenges faced by Risk & Compliance Officers ⚠️ Ensuring that all financial transactions are compliant with regulations 
⚠️ Staying up-to-date with ever-changing regulations 
⚠️ Mitigating financial risks Detecting and preventing financial crime 
⚠️ Ensuring the accuracy and completeness of financial reporting 
⚠️ Maintaining adequate internal controls Protecting an organization from risk & compliance issues ✔️ Developing and implementing policies and procedures
✔️ Creating a culture of compliance 
✔️ Designing and implementing effective controls 
✔️ Monitoring and auditing compliance 
✔️Providing training and awareness 
✔️ Conducting risk assessments 
✔️ Establishing effective communication channels 
✔️ Reporting compliance breaches 
✔️ Enforcing disciplinary action for non-compliance Protecting an organization from risk & compliance issues ✔️ Developing and implementing policies and procedures
✔️ Creating a culture of compliance 
✔️ Designing and implementing effective controls 
✔️ Monitoring and auditing compliance 
\>
✔️ Conducting risk assessments 
✔️ Establishing effective communication channels 
✔️ Reporting compliance breaches 
✔️ Enforcing disciplinary action for non-compliance International financial compliance laws There are many international financial compliance laws that organizations must comply with. Some of these laws include: 
⚖️ The Foreign Corrupt Practices Act (FCPA) 
⚖️ The Bank Secrecy Act (BSA) 
⚖️ The Sarbanes-Oxley Act (SOX) 
⚖️ The Gramm-Leach-Bliley Act (GLBA)
 etc....

Risk & Compliance Expert

What is Ocean Engineering? What is ocean engineering? 🌊 Ocean engineering focuses on tidal energy, a renewable energy that is generated by waves and tides. The energy from the tides and waves can be used to generate electricity or to power pumps and other machinery. Why are we talking about ocean engineering? Alternate sources of energy have to be developed if we have to reduce our dependence on fossil fuels: 
🌊 Ocean energy is a renewable source of energy that can be used to generate electricity. 
🌊 It is a clean source of energy that does not produce greenhouse gases. 
🌊 Opportunities to develop ocean energy are immense, since ocean & sea water are available in abundance.
🌊 Wave and tidal energy can be collected in various ways ranging from installed power sites with hydro turbines to vessels contains structures laid into the seabed. Can ocean energy really help the planet? 🌊 Countries like UK, which are surrounded by open seas and oceans can produce energy that takes care of up to 20% of their requirements using wave energy.
🌊 A marine device that produces energy from waves was installed in Scotland’s Orkney Islands, and is reportedly responsible for 7% of Orkney's requirements. Challenges in ocean energy 🌊 It is a new technology and there is still much research that needs to be done in order to improve its efficiency. 
🌊 Another challenge of ocean energy is that it is not always consistent, and may not be able to provide a constant source of energy. Working as an Ocean Engineer Jobs in ocean energy 🌊 There are many different types of jobs in ocean energy. Some jobs involve working with the machinery that generates electricity from the tides and waves, while others involve working with the equipment that is used to pump water or to power other machinery. 
🌊 There are also jobs that involve research and development of new ocean energy technologies. Emerging jobs in wave energy 🌊 Wave energy project manager 
🌊 Wave energy engineer 
🌊Wave energy developer 
🌊 Wave energy consultant 
🌊 Wave energy project developer 
🌊 Wave energy project coordinator 
🌊 Wave energy project analyst Becoming a ocean engineering expert Ocean engineers require a several skills to succeed:
👉 Technical skills: Understanding of renewable energy with a background in science or engineering. 
👉 Project management skills: Ability to work in a team in difficult situations to deliver results efficiently. 
👉 Business skills: Ability to explain profitability of wave & tidal energy to local bodies, and drive deals to produce this new kind of energy. Career prospects of wave engineering 🔮 The global market for wave & tidal energy is estimated by some analysts at £130 billion.
🔮 The International Energy Agency have forecasted that wave and tidal power will expand to a capacity of over 330 GW by 2050. Wave and Tidal Energies Wave energy v/s Tidal energy 🌊 Waves are created by the wind, so wave energy projects are best suited for locations with strong winds, like the UK coastline.
🌊 Tides are created by the gravitational pull of the moon and the sun, so tidal energy projects are most successful in locations with strong todal sources, like La Rance in France, Sihwa in South Korea, etc. Wave energy machines There are two main types of wave energy machines: 
🌊 Wave power plants use the waves to generate electricity
🌊 Wave energy converters use the waves to power pumps or other machinery. Tidal energy technology 🌊 According to Australian Renewable Energy Agency, "tidal range technologies harvest the potential energy created by the height difference between high and low tides. Barrages (dams) harvest tidal energy from different ranges." 
🌊 "Tidal stream (or current) technologies capture the kinetic energy of currents flowing in and out of tidal areas (such as seashores). Tidal stream devices operate in arrays, similar to wind turbines." Tidal energy machines There are two main types of tidal energy machines: 
🌊 Tidal mills are used to generate electricity from the tides by using the force of the tide to turn a water wheel. 
🌊 Tidal turbines are used to generate electricity from the tides by using the force of the tide to turn a turbine.

Ocean Engineer

What is Voice Interface Design? What is Voice interface Design? 🗣️ Voice interface design is the process of designing user interfaces for devices that allow users to interact with them using voice commands. 
🗣️ This can include designing the voice recognition algorithms that interpret user commands, the dialogue flow that guides users through the interaction, and the user interface elements that are presented to the user. History of voice interface design 🗣️ One of the first voice-based applications was developed in the 1960s by Bell Labs, to control a computer by speaking commands into a microphone. 
🗣️In the 1970s, the first commercial voice-based application was developed to allow doctors to dictate patient notes into a computer. Voice interface design today 🗣️ Voice intefrace design gained mainstream attention in the early 2000s with the release of the first commercial voice-based application for the home, Siri.
🗣️ Since then, many other voice-based applications have been developed for a variety of industries. Where is voice interface design used? 🗣️ Voice interfaces are used in a variety of devices, including smartphones, smart speakers, home assistants, and in-car infotainment systems.
🗣️ Voice interfaces are used by users to perform web searches, ask questions, call numbers, set alarms / timers / reminders, getting traffic and weather updates, etc. Growth of Voice Interface Design Why has voice interface become popular? Voice interface design has empowered people in many ways:
💡 Allows people with vision impairments, physical disability or mobility problems to operate devices.
💡 Has helped people suffering from loneliness, isolation and depression by spotting worrying signs and providing appropriate responses. Advantages of voice interface 👍 Ease of use and accessibility, allowing everyone to request a task from a voice device / assistant.
👍 Hands-free, allowing people to multi-task while cooking, driving, or doing something else that requires their hands.
👍 Eyes-free, allowing people to complete tasks without having to look at an interface. Disadvantages of voice interface 👎 Misinterpretations when the AI doesn't accurately understand the context of the language, leading to errors. 
👎 Limitations in public spaces, where the VUI fails due to other sounds.
👎 Potential privacy violations because devices are 'listening' to everything said in the room. Becoming a Voice Interface Designer What does a voice interface designer do? 🎤 Voice interface designers are responsible for designing and creating the interaction between a user and the application.
🎤 They work with software developers and engineers to create applications that can be controlled by voice commands. Becoming a voice interface designer 🎤 VUX designers come from different backgrounds: linguistics, computer science, music, psychology, cognitive science, etc.
🎤 They should have experience in UX design, and basic knowledge of coding (NodeJS, Python, Java), and a good understanding of user psychology.
🎤 They should also have good copywriting & communication skills. Working as a VUX designer 🎤 Apart from corporate giants like Amazon, IBM, Google, Microsoft, Sansung, Intel and Nuance, all major car manufacturing companies need VUX designers.
🎤 Other products companies like audio manufacturers, and startups in media and retail also require VUX designers. Career Prospects of voice interface designers In 2020, the voice interface design imarket was valued at 13.65 billion USD and projected to 95.41 billion USD by 2030 with a CAGR of 21.5%. The average annual salary for data visualisation experts ranges from 79K USD to 112K USD. Designing a Voice Interface Designing a voice interface The VUI design process can be broken down into several steps:
🔥 Conduct user research to understand how & where voice can be used. 
🔥 Do an analysis of how competitors are implementing voice interactions.
🔥 Prototype VUI conversations to simulate interactions.
🔥 Identify the type of voice command based on different interaction scenarios. Creating successful VUI dialogue flows 🎤 Design a conversation and simple interaction
🎤 Use keywords, and triggers to initiate conversation: "Hello, Alexa"
🎤 Account for different branches in a conversation
🎤Create a strong error strategy, and strong security layer. Apps for prototyping VUIs 🎤 Voiceflow: to design, prototype and create VUI for Google Assistant and Alexa
🎤 Dialogflow: Google-owned NLP platform to design conversation UI for web apps, mobile apps, bots & devices.
🎤 Speechly: to build VUI through NLP.
🎤 Alexa Skill Builder: to build for Alexa'svoice service. Anatomy of a voice command 🎤 Intent: Objective of the user's voice command, which can be a specific task (high utility), or a vague task (low utility).
🎤 Utterance: Different ways a user can "utter" the command for a task
🎤 Slot: Required or optional variables in a particular task. Ex. "Party" is an optional variable in "Play me party music."

Voice Interface Design

How will AI create new jobs? Impact of Artificial Intelligence on work 🤖 Artificial Intelligence will automate many tasks and processes, making many jobs obsolete. Everyone from taxi drivers and fast-food workers, to librarians and even programmers will find their jobs threatened. AI, the creator of new jobs 🤖 But it will also change the way we work by automating many tasks and processes, making us more efficient and productive.
🤖 As the use of AI & Machine Learning increases, it is also creating new job roles and industries that we cannot even imagine today. Future of work & AI "Our research says that 50% of the activities that we pay people to do can be automated by adapting currently demonstrated technologies. [...] It’s important to think about mass redeployment instead of mass unemployment. That’s the right problem to solve." - Michael Chiu, McKinsey Global Institute Who can work in the new roles? While some of these emerging roles don't require any special training, or knowledge of AI, others will require certain specialised skills. The opportunities, however, are several and if AI has taken away your job, you can definitely upskill and try your hand at one of these new jobs created because of the growth of AI. AI Ttrainers AI Trainers 🤖 AI trainers are responsible for training artificial intelligence models to perform specific tasks, and help NLP and language translators make fewer mistakes. This can involve training the models on new data sets, adjusting the models to new environments, or simply optimizing the models for better performance. Training AI to mimic human behavior 💡 Trainers are also responsible for making AI become better at mimicking human behavior. Yahoo Inc is training AI to understand the nuances in human communication, which will improve the efficiency of chatbots. Empathy training for AI 💡 Empathy trainers work with artificial intelligence models to help them better understand and respond to human emotions. Many startups like the New York based Kemoko Inc, are training AI to respond to questions with sympathy and depth. Example of empathy training of AI After empathy training, Alexa can now respond better to a person worried about their exam:
 “Exams are really stressful, but a little anxiety can help us succeed. It sharpens our minds...Easier said than done, I know. But I think you will do much better than you think.” New roles in AI Training 🔮 Customer-language tone and meaning trainers: to look beyond the obvious meaning of words, and understand nuances like sarcasm.
🔮 Smart-machine interaction modelers: to teach AI to mimic human behaviour, like matching payments to invoices.
🔮 Worldview trainers: to train AI to develop a global perspective, especially while considering biases and cultural perceptions. AI Explainers AI Explainers 🚀 AI explainers are responsible for providing explanations for artificial intelligence models. This can involve providing explanations for why the models made certain decisions, how the models work, or what the implications of the model’s decisions are. Right to explanation 🚀 Companies that are deploying AI solution need to employ people who will explain how the algorithms have been designed to senior executive staff, as well as consumers who have a right to understand if their decisions have been influenced by algorithms. Explaining trustworthiness of AI 🚀 Techniques like Local Interpretable Model-Agnostic Explanations (LIME) are used to explain the logic and trustworthiness of a machine prediction. AI explainers use LIME to identify the variables which led to the choice of a candidate for a job, and justify the decision. New roles in AI Explaining 🔮 Context designers: to help make smarter decisions based on business context, professional and cultural factors. 
🔮 Transparency analysts: to classify opacity of AI algorithms used and maintain an inventory of that.
🔮 AI usefulness strategists: to determine whether a certain AI should be deployed or not. AI Sustainers AI Sustainers 💫 AI sustainers are responsible for ensuring that artificial intelligence models are ethically sound and sustainable. This can involve auditing the models for bias, ensuring that the models are not using excessive energy, or verifying that the models will not have negative unintended consequences. Ethics Compliance in AI 💫 A high percentage of companies have complete confidence in the fairness and auditability of AI solutions. AI sustainers have the responsability of acting as a "watchdog and ombudsman for upholding norms of human values and morals" and intervening where necessary to ensure that the AI deployed is ethical and sustainable. Example of ethics compliance in AI 💫 An AI prototype, named Quixote, developed at the School of Interactive Computing at Georgia Institute of Technology, can now why stealing is not a good idea and that striving for efficiency is fine except when it conflicts with other important considerations. New roles in AI Sustainability 🔮 Automation ethicists: evaluate the impact of machines on society.
🔮 Automation economists: evaluate the cost of poor machine performance.
🔮 Machine relations managers: are responsible for deciding the value of algorithms based on their scalability and business value.

New Jobs in AI

Recycling as a career Recycling as a career There is a growing need for recycling professionals as the world faces increasing environmental challenges. Recycling is the process of turning waste materials into new products. It can help to reduce pollution and save energy. Since when has recycling become a career? ♻️ The demand for recycling professionals has grown as the world becomes more aware of the need to reduce pollution and conserve resources. 
♻️ The demand for recycling jobs is also being driven by the growth of the green tech industry. Why are recycling jobs growing? ♻️ As the world becomes more aware of the need to reduce pollution and conserve resources, more people are interested in recycling. 
♻️ There is an increasing amount of waste that needs to be recycled.
♻️ More countries are imposing laws and regulations to encourage recycling, creating a new for professionals in this space. Importance of recycling industry United Nations Sustainable Development Goals ♻️ Recycling is an important part of achieving the United Nations Sustainable Development Goals. Goal 12, which calls for responsible consumption and production, specifically mentions recycling as a key part of achieving the goal.
♻️ In addition, recycling helps to achieve other sustainable development goals, such as reducing greenhouse gas emissions, conserving energy, and protecting the environment. Waste Framework Initiative ♻️ In the European Union, recycling is incentivized through the Waste Framework Directive. The directive sets targets for recycling rates and landfill diversion, as well as establishing an overarching framework for waste management. Growth of recycling industry ♻️ Recycling is creating over 50 times as many jobs, and rec as landfills and incinerators.
♻️ The recycling industry has created over 500,000 jobs in America and more than $100 billion in revenue, making it an extremely viable business opportunity. Becoming a recyling expert Where do recycling professionals work? ♻️ Recycling professionals work in a variety of settings, including recycling centers, manufacturing plants, and government agencies. 
♻️ They may work to develop recycling programs, collect and process recyclable materials, or educate the public about recycling. Recycling and profitability Almost everything is recyclable, but certain objects are more profitable if you are working in the recycling industry:
💵 Scrap metal 
💵 E-waste 
💵 Aluminium cans 
💵 Garbage 
💵 Paper and cardboard
💵 Plastic Becoming a professional recycler There are a few key skills that are important for professional recycling:
💡 Understanding of the recycling process and the different types of recycling. 
💡 Ability to identify different materials that can be recycled. 
💡 Knowledge of the equipment and resources needed for recycling. 
💡 Strong communication and interpersonal skills. 
💡 Organizational skills and attention to detail. Entering the recycling industry Key tips to remember when entering the recycling industry:
💡 Educate yourself on the different types of recycling and the process of recycling. 
💡 Find a niche market that you can focus on. 
💡Create a business plan that outlines your goals and strategies. 
💡 Invest in the right equipment and resources. 
💡 Promote your business and build relationships with potential customers. Working as a recycling expert Perks of being a professional recycler In additional to the economic advantages, a career in recycling has several perks:
✨ You can help reduce environmental pollution & conserve natural resources, and reduce the amount of waste that goes to landfill. 
✨ You contribute to the creations of new products and materials from recycled materials, and help create jobs in the recycling industry. Challenges faced by a recycler ⚠️ Gain the support and participation of others.
⚠️ Create objects that meet market requirements without high investment
⚠️ Optimise cost of waste collection, and recycling Circular economy Circular economy 🟢 The circular economy is an economic system that is based on the principle of waste reduction. In a circular economy, resources are used and reused instead of being discarded. 
🟢 Recycling is a part of the circular economy, but is considered only when there is no possibility of re-use, upcycling, remanufacture or repair. Upcycling 🟢 Upcycling is the process of turning waste materials or unwanted products into new materials or products of better quality or for a better environmental value without having to first destroy them. Repairing 🟢 Waste that it difficult-to recycle, multi-material, and bulky (like bicycles, furniture, clothing, large household appliances, and e-waste) are repaired for prolonged usage, or sale in second-hand and thrift shops.
🟢 This is a popular trend in fashion and design, as people become more aware of the environmental and social impacts of fast fashion. Remanufacturing 🟢 Remanufacturing is the process of taking a product that has reached the end of its life and refurbishing it to look and work like new again, often seen in objects like materials like baled paper and aluminum.

Recycling Expert

What is the Future of Work? What is the Future of Work? 🧑‍💼 Rapid advances in technology, the global economy, shifting political realities, and changing demographics will influence the future of work. 
🔮 Experts believe that the future of work will be increasingly automated, and specialised. The green economy and creator economy are expected to grow, and telecommuting and other forms of remote work are likely to become more common. Keep learning to keep earning! 🔮 In the future of work, the current norm of “work-to-earn” will be replaced by “x-to-earn” where x = work, create, play or even learn! 
🔮 Whatever your X, you will need a certain set of skills to succeed in the new economy, which bring together an intricate web of durable and technical skills. Multi-skilled workforce 🔮 The future of work will require individuals to have a more diverse skill set in order to be successful. <
🔮 As technology continues to evolve and change the landscape of the workforce, it is becoming increasingly important for everybody to be able to adapt to new situations and learn new skills quickly. Jack of all trades, Master of one 🔮 On one hand, jobs will become more specialized, making it important to master a skill completely. 
🧑‍💼 On the other it will be crucial to stay agile, and be a bit of Jack of all trades by staying in touch with the changes in the economy, and knowing enough about everything to be able to work in a different field/role. Six Pillars of the Future of Work Web3 & New Technology 🚀 You may not have chosen a career path in technology, but everyone needs to have a basic understanding of the tools of the future. 
Whatever your career path, you have to which includes everything to do with Web3 (Blockchain, Crypto, NFT, DAOs,etc) and other new technology (AI, ML, NLP, etc) in order to succeed in this new economy. Marketing & Content Creation 🚀 The overcrowded market of the 21st century has made marketing an essential part of every industry, whether traditional or a part of the new economy. 
Digital marketing, growth hacking, content creation to promote brand awareness are career paths that will always be in high demand, and are a great alternative for non-tech people, whose powers lie in creativity and communication. FinTech & Crypto 🚀 Workplace financial literacy is a necessary skill for everyone, even if you’re not working in finance and accounting. 
From understanding the consequences of your company’s IPO to learning about cryptocurrency, there are some FinTech skills that are necessary to succeed in the new economy. Product Development 🚀 The Great Resignation of 2021 is proof that Gen MZ does not want to spend their careers working to bring in profits to a single organization. 
This is a generation that wants to create and build their own futures, making product development a key element in the new economy. From design to project management, there is great scope for people to spin their magic in product development. Sustainability & Ecology 🚀 If new technology is driving the economy of the future, concerns for the future of the planet are also increasing. 
The Green economy has grown over the last decade, and there is a high demand for professionals who want to work with ventures in sustainability and ecology. People & Culture 🚀 As long as humans walk this Earth, there will always be a requirement for creative professionals in culture, and smart, driven people to manage talent.
The new economy has a high requirement for professionals with people management skills, and the ability to drive culture across industries…and the multiverse!

Being Adaptiv

What is Gestural UX? What is UX? User experience (UX) is the overall experience of a person using a product or service. It encompasses all aspects of the interaction, from the initial contact with the product to the post-use experience. What is Gestural UX? Gestural UX is a term used to describe the way users interact with digital products and services using gestures instead of traditional input methods like keyboards or mice. This can include simple gestures like swiping and tapping, as well as more complex ones like drawing and gesturing in three dimensions. Why is Gestural UX important? Gestural UX is important because it allows users to interact with digital products and services in a more natural and intuitive way. By keeping the principles of gestural UX in mind, designers can create more user-friendly experiences that are easy to use and enjoyable. Career in Gestural UX A career in gestural UX can involve designing and developing new gestural interfaces, as well as researching and evaluating existing ones. UX designers with experience in gestural UX can work in a variety of industries, including software development, web design, and human-computer interaction. Becoming a Gestural UX expert Gestural UX designers should have experience with designing and developing interfaces, as well as research and evaluation skills. They should also be familiar with various input modalities, such as touch, voice, and gestures. Gestures in UX Gestures in Interactions Gestures play an important role in human-computer interaction and can be used to perform a variety of tasks: selecting, scrolling, zooming, etc. Gestures in UX There are a variety of gestures that can be used in UX design, depending on the needs of the user and the context in which they will be using the product or service: swiping tapping, rotating, etc. Swiping and tapping Swiping is a common gesture that can be used for a variety of purposes, such as scrolling through a list or page, or moving between different screens or views.
Tapping is another common gesture that can be used to select an item, open a menu, or perform other actions. Drawing and dragging Drawing gestures can be used to input text, create shapes, or perform other actions.
Dragging is another common gesture used for rearranging or reordering list items. Growth of Gestural UX Growth of Gestural UX Gestural UX mimics our gestures and interactions with physical objects and carries them into the digital world. From the time Apple introduced the iPhone and brought multi-touch technology into our life, we have learned to point, tap, pinch, spread, and swipe to use digital products. Gestures are shaping the future of UX Gestures are more natural and intuitive than traditional input methods like keyboards and mice, and can be used in a variety of contexts, including mobile phones, desktop computers, and virtual reality. Why are gestures the next big thing? In addition to tasks like, scrolling, zooming, and rotating, gestures provide a more immersive and interactive experience for users. They can be customized to the needs of the user and the context in which they will be used. Gestural UX is already here Designers are becoming more aware of the importance of gestural UX and are already incorporating it into their designs, to reduce clutter on our screens, create seamless interactions, and also create new ways to interact within our fantasy worlds. Challenges in Gestural UX Challenges in Gestural UX Design There are a few challenges that designers should be aware of when creating gestural UX experiences. Gestures can be misinterpreted, prove to be ambiguous, or distracting. Confusion and misinterpretation Users might not understand the meaning of a gesture, or they might perform the wrong g Lost in translation Users might not be sure how to perform a gesture, or they might perform the same gesture in different ways. Too many gestures all the time Users might get tired of using gestures after awhile, or they might not be able to perform gestures accurately if they are fatigued. Distacting and annoying Users might be distracted by other elements on the screen, or they might not be able to focus on the task at hand if the gestures are too complex. Tools of Gestural UX Tools in Gestural UX There are a variety of tools that can be used to create gestural UX experiences, including touch screens, motion-sensing devices ad VR. Touchscreens Touchscreens are a common tool for gestural UX experiences on mobile devices. They allow users to interact with digital products and services using their hands and fingers. Motion-sensing devices Motion-sensing devices, such as the Kinect, can be used to track the movement of users' bodies and translate it into input for a digital product or service. Virtual Reality Virtual reality can be used to create immersive gestural UX experiences. headsets, such as the Oculus Rift and HTC Vive, allow users to interact with digital products and services using their hands and body. Principles of Gestural UX Principles of Gestural UX There are several principles that designers should keep in mind when creating gestural UX experiences: Keep it simple and natural Users should be able to accomplish their goals with as few gestures as possible. The gestures should feel natural and intuitive. Step into the user's shoes Users should receive feedback that confirms their input and shows the results of their actions. Users will make mistakes when using gestures, so design for it. Provide clear error messages and easy ways to recover from mistakes Support multiple input modalities Design for different input modalities, such as touch, voice, and gestures, to provide a more flexible and inclusive experience.

Gestural UX

AI in Finance AI in Finance 🤖 AI is increasingly being used in finance, with applications ranging from chatbots that provide customer support, to algorithmic trading bots that execute trades automatically. Why do you need AI in Finance? 🤔 Financial institutions have a lot of repetitive tasks, such as customer service, fraud detection, and risk management, which can be automated using AI. 
🤔 They also have to process and analyse large amounts of data, which can be done more efficiently by AI. Advantages of using AI in Finance 👍 AI solutions can help financial institutions make better decisions about where to invest their money, how to price their products, and how to manage risk. 
👍 Robo-advisors provide automated investment advice, and algorithmic trading platforms allow retail investors to trade stocks and other financial instruments using AI-based algorithms. Dealing with data overload Dealing with data overload Financial organisations are grappling with large amounts of data that they have to process, analyse, and present in a smart and comprehensible manner to customers. Challenges of data overload 📌 Extracting meaningful insights from massive amounts of data is very difficult.
📌 Difficulty in focusing on qualitative data analysis, because of a higher focus on structured data analysis. ML and NLP to solve the problem Machine Learning and Natural Language Processing tools can be used to sift through large amounts of data in real-time:
🚀 Structured data analysis which can be further enriched with unstructured data analysis.
🚀 Simultaneous automation of unstructured processes. Advantages of automation using ML & NLP Automating processes helps to:
🚀 Uncover previously untapped opportunities in real-time.
🚀 Improve customer experience and understand what will make them return.
🚀 Reduce operating errors, as well as the time spent in task handling. Risk management & Compliance Risk management 📒 Risk management is the process of identifying, assessing, and managing risks to ensure that they are within an acceptable level of exposure. 
📒 Risk management is a critical function in finance, as financial institutions must balance the need to make profits with the need to protect against losses. AI in Risk management 🚀 AI can be used to analyse large amounts of data with a history of risk cases, revealing trends and symptoms of potential risks before they occur. 
🚀 Monitoring real-time activities in a specified market and environment can help make better projections.
🚀 Text generation tools can create reports with more accurate forecasts based on a complex set of variables and help in planning next phases. Document Management and Compliance 📒 Compliance is the process of ensuring that financial institutions and other organizations comply with laws, regulations, and other requirements.
📒 15.9% of financial organisations claim that compliance regulation is one of their biggest challenges. AI & Document Compliance 🚀 AI can be used to manage incoming documents more efficiently, and make sure everything is classified and ends up in the right place.
🚀 Automation can also help check documents for missing information, signatures, etc. 
🚀 Use of AI also helps in identify fraudulent insurance claims, as well as making more accurate recommendations for insurance policies to customers. Fraud Prevention The cost of fraud to financial organisations Fraud in the financial industry refers to illegal or unethical practices that result in financial gain. Such practices may include insider trading, accounting fraud, and money laundering.
Money laundering is responsible for 2-5% of losses to global GDP, and banks pay billions of dollars in fines for money-laundering violations. AI for Fraud Prevention 🕵️ AI can be used to build strong Anti Money Laundering processes by collecting customer and counterpart data from internal sources and external sites. 
🕵️ AI can be used to analyse unstructured data, by focusing on customer behavior, and verifying identification documents to keep a stricter watch on any suspicious activities. Growth of AI solutions for fraud detection 🕵️ Financial organisations are investing in AI solutions and ML models (specifically supervised learning models) to help prevent fraud and reduce their risk. In 2021, a record 217 billion USD was spent on these solutions. Example of Fraud Detection Solutions 👉 A company called FICO has developed an AI system that can be used to detect and prevent fraud. This system is being used by major banks and credit card companies. Trading & Investment AI in Trading 💸 AI can be used in trading in a number of ways, such as identifying patterns and making predictions. 
💸 For example, AI can be used to identify patterns in stock prices, and then make predictions about where the prices are likely to go in the future. AI can also be used to trade automatically, without the need for human intervention. Advantages of using AI for Trading 🚀 AI enables finance experts to make smarter and more accurate trade decisions based on analysis of trends and patterns in market prices.
🚀 Using AI for algorithmic trading can maximise returns on investment funds, and reduce the cost of manual effort in processing trades. AI for Investment Analysis 🏦 The use of AI in investment analysis is fairly new, but it’s already being used to help identify potential investments and predict price movements. AI-based investment analysis can help identify patterns and relationships that would be difficult for humans to spot. Examples of AI in Investment Analysis 🏦 Goldman Sachs has developed a product called “smart beta” that uses AI to select stocks. This product is designed to outperform traditional index funds.
🏦 A company called Nara Logics has developed an AI system that analyzes data to identify investment opportunities. by checking factors such as company financials, news, and social media to generate investment ideas. Process Automation AI for Process Automation 💰 Financial processes are often manual, repetitive, and time-consuming. This makes them prime candidates for automation. 
💰 There are many different ways to automate financial processes. One popular method is to use robotic process automation (RPA). RPA involves using software to automate tasks that would normally be done by humans. Example of Process Automation in Finance 👉 A company called Blue Prism has developed software that can be used to automate tasks such as data entry, invoice processing, and customer service. This software is being used by major banks and insurance companies. Example of Process Automation in Finance 👉 AI can be used to automate tasks such as fraud detection, risk management, and financial analysis.
👉 AI is also being used to develop robo-advisors, which are automated investment advisors that use AI to manage portfolios. Future of AI in Finance 🔮 The future of AI in finance is very exciting. AI will be increasingly used in a variety of ways to improve financial processes and products. 
🔮 AI is being used to develop new ways to trade. For example, a company called Robinhood has developed a mobile app that allows users to trade stocks without any fees. This is just one example of how AI is going to disrupt the traditional financial industry.

AI in Finance

What is Ethical AI? What is Ethical AI? There is a lot of discussion on Ethical AI what that means: 
👉 AI that is used for good, such as helping to cure diseases or improving agricultural yields. 
👉 AI that is designed to be transparent and explainable, so that people can understand how it works and make sure it is not being used maliciously. Ethical AI : definition "Ethical AI is artificial intelligence that adheres to well-defined ethical guidelines regarding fundamental values, including such things as individual rights, privacy, non-discrimination, and non-manipulation."
Source: C3.ai Why are ethics important in AI? Ethics are important in AI because technology is becoming increasingly sophisticated and is being used in more and more areas of life. 
As AI gets better at making decisions, it is also becoming more involved in areas that have ethical implications, such as HR, healthcare, finance, and the criminal justice system. Examples of unethical use of AI AI can be used unethically for disinformation, deception, political suppression etc. Some examples:
❌ Using AI for predictive policing, to disproportionately target minority communities.
❌ Using AI in healthcare to ration care and deny treatment to certain groups of people.
❌ Using AI to develop autonomous weapons that could make decisions about who to kill without human oversight. What are the ethical concerns of AI? What are the ethical concerns of AI? The main ethical concerns of AI are:
📌Privacy and surveillance, 
📌 Bias and discrimination, based on gender, race, etc.
📌 Wide-scale automation, without weighing the consequences. Privacy & Surveillance Concerns 🤔 As AI systems become more sophisticated, they are able to collect and process large amounts of data. 
🤔 This raises concerns about how this data will be used and who will have access to it. 
🤔 There are also concerns that AI could be used for mass surveillance, for example by tracking people's movements or monitoring their communications. Bias and Discrimination by AI 🤦 AI systems are often designed and trained using data sets that contain bias. For example, if an AI system is trained on data that is predominantly male, it is likely to be biased against women. 
🤦 AI systems can also perpetuate existing social biases, for example by reinforcing stereotypes about certain groups of people. Example of Bias by AI The recently launched Dall.E that creates images and art from text descriptions portrays only male students to represent "students." 
They do have a disclaimer: 
While the capabilities of image generation models are impressive, they may also reinforce or exacerbate societal biases. [...] it may generate images that contain stereotypes against minority groups. Copyright Concerns in AI As AI systems become more sophisticated, they are increasingly able to create original works, such as music or artwork. 
However, it is unclear who owns the copyright to these works, and there are concerns that AI systems could be used to pirate copyrighted material. Example of Copyright Concerns Famous example include "The Next Rembrandt”, was designed by a computer and created by a 3D printer in 2016, and the last two movements of Symphony No.8, the unfinished composition that Franz Schubert, finished by AI in 2019. How do you build Ethical AI? How do you build Ethical AI? 💡 Ethical AI should be built on the following principles:
transparency, justice and fairness, non-maleficence, responsibility, privacy, beneficence, freedom and autonomy, trust, sustainability, dignity, and solidarity. AI for doing good 🤖 AI should be designed and developed in a way that respects the dignity and rights of all individuals. 
🤖 The development and use of AI should aim to enhance the wellbeing of individuals and society as a whole. 
🤖 AI should be designed and developed for the common good, taking into account the need to protect the environment. Fair and unbiased AI 🤖 AI should be transparent and accountable, so that individuals can understand how it works and why it makes certain decisions.
🤖 AI should be designed and developed in a way that is fair and unbiased, taking into account the need to avoid discrimination. 
🤖 AI should be designed and developed in a way that respects the diversity of cultures and perspectives. AI that is regulated 🤖 The use of AI should be subject to appropriate regulation by democratic governments, to ensure that it is used responsibly and in a way that protects the public interest.
🤖 It shouldn't be used by totalitarian states to advance their regimes or control their citizens.

Ethical AI

What is Green Design? What is Green Design? Green design is defined as “the practice of creating products, buildings and processes that are environmentally responsible and resource-efficient throughout a product’s life-cycle from design, manufacture, operation and maintenance to disposal or recycling.” Green Design v/s Sustainable Design 🌿 Green Design is hyper-focused on minimising negative impacts without exhausting resources available in the natural environment.
🌿 Sustainable Design building a better future for the next generations, by reducing or eliminating negative environmental impacts through thoughtful designs. Why are we talking about Green Design? The increasing awareness of the need to be environmentally responsible, the availability of sustainable materials, and the desire to improve public health, has led to an interest in Green Design and its advantages. Where is Green Design used? Green Design is used for designing products that are better for the environment and that don’t use up a lot of resources, in a variety of fields, including architecture, engineering, product design, and fashion design. Designing Green Products Advantages of Green Design 💚 Reduced pollution
💚 Reduced energy consumption 
💚 Reduced water consumption
💚 Improved air quality 
💚 Improved public health 
💚 Reduced greenhouse gas emissions 
💚 Improved economic efficiency 
💚 Improved social equity Danger of Green Washing Greenwashing, or the act of making false or misleading claims about a product or company's environmental friendliness, if often done through marketing and advertising campaigns that exaggerate a product's eco-friendly benefits or downplay its negative environmental impact. Green Product Design Green Products like solar panels, wind turbines, LED light bulbs, objects or even organic cotton clothing focus on using renewable resources, minimizing waste, and reducing pollution during the process of manufacturing and distribtion. What makes a design 'green'? A product is considered 'green' if it meets the following criteria:
💚 The product uses recycled materials. 
💚 It is biodegradable or recyclable.
💚 It uses less energy to produce. 
💚 It is less toxic. 
💚 It is durable and made from renewable resources. Elements of Green Product Design It is important to consider all aspects of green design from materials and remember that if there is less waste produced, then there is less to clean up.The key to producing less waste is to produce waste that is biodegradable, and avoid waste that is toxic or hazardous. Green Design in Fashion Green Design in Fashion As the world becomes more aware of the need to be environmentally responsible, the fashion industry is beginning to adopt green design principles. Example: Designing 'green' jeans While designing 'green' jeans, a designer should consider:
🧶 Choose more sustainable materials,
🧶 Design for durability and longer lifecycle
🧶 Design for repair, upgrade and recycling,
🧶 Design for easy stain-removal and odour-resistance to reduce washing. Growth of Green Fashion 💸 According to recent studies, the sustainable fashion industry was worth 5.84 billion USD in 2021. With rising environmental awareness, it is expected to reach 8.3 billion USD by 2025. What makes fashion 'green'? Fashion designer are finding innovative ways to be green:
🧶 Using sustainable materials like bamboo, organic cotton, & hemp, and recycled plastic bottles, etc.
🧶 Using natural dyes and finishes to Minimize the use of harmful chemicals.
🧶 Reducing water consumption and improving energy efficiency in production. Becoming a Green Fashion Designer In addition to studying fashion design, you also need to:
🧶 Study sustainable fashion design, 
🧶 Research eco-friendly materials and methods,
🧶 Understand the principles of sustainable production and distribution.
🧶 Build a network of sustainable fashion professionals. Green Design in Architecture What is Green Architecture? Green architecture is an approach to building design that focuses on creating environmentally sustainable buildings. It focuses on using materials and energy-efficient design strategies to create buildings with a smaller environmental impact. Why are green buildings the next big thing? Source: https://blog.cityelectricsupply.com/ Careers in Green Architecture The US green construction industry  is worth $81bn, and offers career opportunities to everyone from green architects to green engineers, and urban planners. There is also a lot of potential for career growth in developing green construction standards and codes, or on educating the public about green construction. Principles of Green Architecture The principles of green architecture include using renewable energy sources, using recycled and recyclable materials, using local materials, and using natural ventilation and lighting. Green architecture also includes strategies for water conservation and waste reduction. Green Construction Green construction prioritises the use of local and renewable materials, like clay, sand and stone, as well as grasses, straw, wood and bamboo. Reclaimed and recycled materials that are non-toxix are also used in green buildings. Green Construction and 3D Printing 3D printing can be used to create buildings that are more environmentally sustainable. For example, 3D printed buildings can be made with recycled materials, and they can be designed to use less energy and water. 3D printing can also be used to create buildings that are easier to disassemble and recycle, which further reduces their environmental impact.

Green Design

Work from Home What is Work from Home? 🏠 Work from home, or remote work has seen a huge uptake sincethe Covid-19 pandemic. 
🏠 The advancement in technology and software has also given concrete ground to manage and delegate work efficiently from remote places. Is WFH a new trend? ✅ Almost 43% working Americans had logged into an out-of-office work at some point. According to Gallup, 31% of US employees worked at least 4 days out of office before the pandemic, and in 2020 the number went up to 58%. Is the future just WFH? 👉 Although WFH has become the norm and people are settling into this new trend, it isn't the perfect solution.
👉 Working from the comfort of one's home can be rewarding, however, it does lack the necessary physical interaction required for people to connect in a company. WFH and Hybrid Work 👉 The new hybrid work model is designed for today's evolving environment which seems to be ideal as it allows for a balance between working from home and working in an office space. Principles of WFH Principles of WFH 👍 Staying connected and synced up, tracking and sharing calendars, files and project status is key to successful WFH.
👍 Implement habits that do not distract you from work. 
👍 It is very important to give yourself the space to find a flow between your relaxing time and working time. Advantages of WFH 💪 Remote work has increased employee efficiency, increased the pool of potential labour, and reduced overhead office expenses.
💪 Better family-work life balance & a rise in employee satisfaction. 
💪 Reduced commuting, lesser use of big workspaces & energy contributes positively to the environment. Disadvantages of WFH 🚫 Lack of communication and messages lost in transit (& translation!)
🚫 Lack of physical differentiation between workspace and personal spaces, leading to employee burn-out.
🚫 Distractions of children, pets, dishes and endless chores leading to reduced efficiency during core work hours. Work -Life Balance Maintaining a Work -Life Balance 📌 Getting used to working from home, instead of going to work.
📌 Juggling home and work responsibilities, which can affect the overall productivity and efficiency. Creating a workspace ✔️ It might be tempting to work from the bed since it is comfortable and nice but in the long term this might affect your productivity. 
✔️ Assign a workspace which is dedicated only for the work that needs to be done and make sure you do not use it to game or watch something online. Realistic timelines ⭐️ Setting up realistic timeline to work (eg: 9am to 5pm), to provide deliverables on time etc. can help in terms of understanding your capacity to work. Communication is the key ⭐️ Communication has never been more important than in the WFH model.
⭐️ Video conferencing tools have helped to facilitate communication, allowing people to efficiently use the power of body language, which was lost in emails. Trust the process and people ⭐️ Trusting that people will complete the task assigned to them and will do their best is extremely important not only to build a lasting remote work environment but also to facilitate better communication. Tips to be a WFH pro Tips to be a WFH pro 💡 There is a requirement to maintain balance between personal life and work is detrimental, there are certain tips you can adapt to make sure you are a pro at working from home. The Right Equipment 📲 Having right equipment is the key to a work from home environment: laptop, stable internet, access to email and having a working phone is essential to facilitate work and communication. Get Some Structure in Place ✏️ Planning out the day by prioritising tasks and assigning the number of hours to each of it gives a structure and goal. 
✏️ Scheduling the timing also help in assessing when one can take a break and increase productivity efficiently. Take breaks ⏸ One of the major challenges while working from home is no sense of when to take a lunch break or time to get up to rejuvenate yourself. 
⏸ As much as working is important, taking break in between the work is equally important to have a balanced everyday rhythm. Tools for WFH Tools for WFH - communication 👉 Communication is key in working from home. Having right software to work and disseminate information thus becomes equally important. 
👉 Some of the best apps to facilitate communication online are Slack, zoom, and Microsoft teams. Tools for WFH - File sharing 🔌 Any work nowadays comprises of exchange of multiple large files that needs to be worked and re-worked on multiple times. 
🔌 Thus, file sharing cloud storage solutions like Google Drive, Microsoft OneDrive, and Dropbox come to rescue to help share large files and documents. Tools for WFH - Project management ⏳ Managing a project online is a huge challenge Applications like Asana, Trello, toggle etc. help in managing a project online and helping people keep track of the work to be done with set deadlines. Future of WFH Future of WFH 🎯 According to the Auto Insurance Center (AIC), in 2016, US working force were spending almost 42 hours to commute to and fro to their work. 
🎯 On one hand, the prices one needs to pay for fuel, expenses on cars, stress etc. can impact the workers productivity. While on the other hand, the environmental implications would be dangerous to the whole society. Future of WFH 🎯 In 2017, as per a study done by Canada Life, employees working ranked at a 7.7 productivity level while office bound workers ranked at 6.5. 
🎯 Lower stress, family-work life balance and lesser distractions were cited as the main reasons for the difference in productivity levels. Future of WFH 🎯 Remote working has helped many companies keep their talent at the place and lowered attrition of workers. This has also helped companies reduce their intrinsic costs.
🎯 While talent retention is a key aspect, the other key component has been the attraction of better talent. With possibilities of web work, a lot of talented individuals can be hired to do specified jobs making the job market global and inclusive. Future of WFH 🎯 The remote work scenarios is here to stay as technology and communication improves by the day. 
🎯 As per Global Workplace Analytics, 37% of employees working remotely are willing to take a 10% pay cut so as to remain working from the comfort of their home. 
🎯 It is pertinent for companies to reassess and analyse how the WFH policies and to facilitate such novel ways to work so that employees can work efficiently and productively.

Work From Home

Diversity & Inclusion What is Diversity & Inclusion? 🧑🏿‍🤝‍🧑🏼 Diversity refers to the practice of including people from diverse social and ethnic backgrounds, genders, identities, and sexual preferences. 
🧑🏿‍🤝‍🧑🏼 On the other side of the coin, inclusion refers to the equal treatments given to everybody, irrespective of the group to which they belong. Why are we talking about it? 🧑🏾‍🤝‍🧑🏻 In addition to the principles of creating a fair world & providing equal opportunities to everybody, research has shown that diversity leads to 25% improvement in performance, by bringing different ways of thinking to the table. 
🧑🏾‍🤝‍🧑🏻 Inclusion takes it a step further and propels team performance by 80%. Diversity at the workplace Diversity in companies covers the following areas:
🧑🏻‍🤝‍🧑🏿 Cultural diversity
🧑🏿‍🤝‍🧑🏼 Racial diversity
👯 Gender diversity 
🧑🏿‍🤝‍🧑🏼 Physical disabilities
🧑🏻‍🤝‍🧑🏿 Diversity in interests Power & Privilege Power and Privilege Power and privilege in the context of diversity refers to the ability of individuals or groups to have greater access to social, economic, and political resources and opportunities because of their membership in a particular group. Power and its implications Power, or the ability to exercise control over others, allows people to decide who has access to resources, creating two groups:
🚫 Marginalised, oppressed, or disadvantaged group
🚫 Dominant, privileged, or advantaged group. How does Privilege impact others? 💪 Privilege is interconnected with power, and allows people to create and maintain certain norms at the expense of others.
💪 It provides unearned access to resources, leading to inequality. 
💪 It also enables people to ignore invisible forms of oppression. Balancing Power and Privilege at work Some ways to balance power and privilege in the workplace include promoting diversity and inclusion, ensuring everyone has a voice and equal opportunity to participate in decision-making, and challenges assumptions and stereotypes. Understanding Bias What is Bias? Bias at the workplace is when an individual or group is treated unfairly or unfairly given opportunities because of their membership in a particular group. This can be based on race, gender, ethnicity, religion, sexual orientation, or other factors. Bias and Diversity 🚫 Bias and diversity are often interconnected, as bias can lead to disparities in opportunities and outcomes for certain groups. 
🚫 Diversity refers to the presence of individuals from different groups in a population or organization. When there is diversity, there is the potential for bias and discrimination to occur. Implicit v/s Explicit Bias 🚫 Implicit bias is when an individual has a preference for or against someone based on their membership in a particular group, without being aware of it. 
🚫 Explicit bias is when an individual is consciously aware of their preference for or against someone based on their membership in a particular group. Identifying Biases 🧐 Identifying biases can be difficult, as they often operate at an unconscious level. 
🧐 However, there are a few ways to identify bias, including paying attention to patterns of behavior, looking for disparities in outcomes, and considering how someone would feel in a particular situation. Addressing Biases 🧐 Once a bias has been identified, there are a number of ways to address it. This can include changing policies and procedures, providing training on diversity and inclusion, and increasing accountability. Microagressions Microaggressions at work 💢 Microaggressions are everyday comments or actions that subtly reinforce negative stereotypes about a particular group. They can be intentional or unintentional, but they can have a big impact on the workplace.
💢 Microaggressions can be based on race, gender, ethnicity, religion, sexual orientation, or other factors. Types of microaggressions There are a number of different types of microaggressions:
💢 Verbal microaggressions are comments or jokes that reinforce negative stereotypes. 
💢 Nonverbal microaggressions are actions or behaviors that communicate a lack of respect. 
💢 Environmental microaggressions are the presence of symbols or cues that reinforce negative stereotypes. Addressing microaggressions When addressing microaggressions, it is important to be aware of the impact they can have on the individual or group:
💢 Call attention to unwanted behaviour
💢 State why the behaviour is out of line and unacceptable
💢 Intervene where needed, ask questions, understand and mitigate the situation. Tokenism & Cultural Appropriation Tokenism 🥸 Tokenism is the practice of making only a perfunctory or symbolic effort to be inclusive of members of minority groups, especially by recruiting a small number of people from underrepresented groups in order to give the appearance of diversity. 
🥸 This can lead to a feeling of being devalued or tokenized. Tokenism v/s Representation 🥸 Tokenism is when an individual or group is included only for the purpose of appearing diverse.
🥸 Representation, on the other hand, is the practice of including members of minority groups in a deliberate and meaningful way. This can be done through policies, practices, and organizational structures that ensure that minority groups have a significant presence and voice within the organization. Cultural Appropriation at Work 🥸 Cultural appropriation is the act of taking or using elements of a culture that is not one's own, without understanding or respecting the culture from which they come. This can often happen in the workplace, when members of the majority culture appropriate the traditions, dress, or language of minority cultures. Combating Cultural Appropriation 🧐 Take the time to reflect, analyse your behaviour, and learn about different cultures, communities and societies.
🧐 Expand your knowledge and understanding of others, to reduce falling victim to problematic stereotypes, and building a culture of appreciation. Measuring D&I at Work Measuring Diversity & Inclusion ✨ It is important to conduct regular surveys at the workplace to measure Diversity & Inclusion with the double objective of reducing discrimination, marginalisation, and tokenism AND making the organisation truly diverse and inclusive.
✨ A proven strategy for D&I excellence is "listen, hear, and act" - gather intel by talking to your team, and drive change. Question, Understand and Educate 💡 Question everything with an open-mind and the objective to unlearn biases.
💡 Understand your own identitites, biases, and even any privilege and power you have.
💡 Commit yourself to learning, and constantly updating your references different realities. Get involved Simply stating that you believe in D&I isn't enough. You have to stand up, and get involved:
👉 Advocate for social issues and intervene where needed
👉Amplify the voices of those without privilege
👉 Volunteer and become a true ally. Become a better you The biggest way to drive positive change is accept that you are also a part of the problem, and start the process to become a better person by:
👉 Learning to empathise with others
👉 Educating yourself and others around you
👉 Matching your thoughts with positive actions.

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