
AI in tokenomics: A review
For the full article please go to https://thedatascientist.com/ai-in-token-engineering-a-review/

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Apr 2024
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This is the official podcast of The Data Scientist (http://thedatascientist) and the Tesseract Academy (http://tesseract.academy). Helping make data science and blockchain accessible to a non-technical audience.

For the full article please go to https://thedatascientist.com/ai-in-token-engineering-a-review/

Generative AI is empowering designers to explore new creative frontiers, enabling the synthesis of unique ideas and visual concepts at an unprecedented pace. It not only streamlines the design process by automating mundane tasks but also inspires innovation by offering a vast array of possibilities that were previously unimaginable or too time-consuming to explore. On this episode Bence Csernak, an experienced designer who's been in the space of Generative AI since 2017 shares his views. Visit The Data Scientist for more content on AI, data science and web3!

Tokenomics is the most important part of any Web3 project. TokenLab is one of the best ways to simulate and stress test any kind of token economy. It is based upon the 6+ years of experience of Dr Kampakis in this area. In this webinar, Dr Kampakis discusses topics such as: 1) What makes for a good token economy? 2) How can you stress test a token economy 3) How does TokenLab help you do all of the above?

In the rush to try out new and untested ideas, a clear pattern has shown up: many crypto projects prefer to copy successful plans, systems, and strategies from those that came before them. While showing that some methods work, this habit also highlights how careful many projects are when moving through the complicated world of token economies. https://thedatascientist.com

AI is changing everything. Whether you are a CEO, a senior professional or an entrepreneur, you need to adapt. We discuss more in this podcast Visit the https://tesseract.academy for more information about our AI and Web3.0 mastery program. Join us at The Data Scientist for more content on AI, data science and Web3 !

The year 2023 was, without question, the year of the AI. Here are some of the things we witnessed. We saw the rise of ChatGPT. Google’s efforts to compete against OpenAI The drama with Sam Altman, his firing and re-hiring. Generative AI breaking into the mainstream With everything that transpired in 2023, everyone’s been wondering what the next year holds for AI. Join us at The Data Scientist for more content on AI, data science and Web3 !

Generative AI is taking the world by storm! On this episode, Alex from Elai.io, one of the biggest generative AI startups in the world, is sharing his views on the future of generative AI and synthetic humans!

AI Ethics is one of the hottest areas in AI right now. Join us as we discuss with distinguised expert Ali Uthman about the current and future state of this exciting area! About the guest Ali Uthman is an AI Ethics and Policy Strategist, Board Member, Advisor, and Speaker Ali Uthman is deeply committed to fostering the ethical and responsible adoption of artificial intelligence, aiming to harness its potential for the greater good of humanity. With expertise in AI ethics, digital policy, human rights law, and strategic partnership development, he is dedicated to steering transformative change through thoughtful leadership and guidance. Join us at The Data Scientist for more content on AI, data science and Web3 !

What is the current stage of AI? In this video, we discuss McKinsey's report on the progress of AI across industries. Make sure to go to https://thedatascientist.com for more content on AI, data science and Web3.0 About Dr Kampakis Dr Stylianos (Stelios) Kampakis is a data scientist and tokenomics expert with more than 10 years of experience. He has worked with companies of all sizes: from startups to organisations like the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech, sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others. He has worked with many different types of technologies, from statistical models, to deep learning, to large language models. He has 2 patents pending to his name, and has published 3 books on data science, AI and data strategy. He has helped many people follow a career in data science and technology. His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory. He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School and CEO of The Tesseract Academy. 🤖 http://tesseract.academy 🤖 http://thedatascientist.com 🤖 http://beyond-machine.com 🤖 https://www.instagram.com/stelios_thedatascientist/ 🤖 https://twitter.com/s_kampakis #AI #ai #data #datascience #dataanalytics #datanalytics #analytics #artificial_intelligence #bigdata #tokenomics #web3.0 #web3 #blockchain #crypto

Data engineering has become one of the hottest topics in the data space. As companies scale, data pipelines become more complex and the volume of data grows exponentially. This burgeoning data needs to be stored, processed, and analyzed efficiently to extract meaningful insights that can drive business decisions. On today's episode, we discuss with Stefan and Elijah from DAGWorks about the future of data pipelines, and AI. DAGWorks is a data pipeline tool built for the forward-thinking data engineering team and is incrementally adoptable. Make sure to go to https://thedatascientist.com for more content on AI, data science and Web3.
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