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Stylianos Kampakis
United Kingdom
Приєднався 9 вер 2011
Dr Stylianos (Stelios) Kampakis is on a mission to educate the public about the power of data science, AI and blockchain. He has helped many people follow a career in data science and has worked with decision makers from companies of all sizes: from startups to organisations like Vodafone and British Land. 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, CEO of The tesseract.academy (which helps decision makers use data science) and beyond-machine.com (which is the best way to pursue a career in data science). A natural polymath, with a PhD in Machine Learning and degrees in Artificial Intelligence, Statistics, Psychology, and Economics he loves using his broad skillset to solve difficult problems and help companies improve their efficiency.
You can read more about him on his blog at thedatascientist.com
You can read more about him on his blog at thedatascientist.com
Real world assets and tokenomics: The FIDO case study
Discover the powerful intersection of real-world assets and tokenomics through the lens of the FIDO case study. In this video, we dive deep into how agent-based modeling is transforming the way we understand and implement tokenomics for real-world applications. Learn how tokenizing assets can revolutionize traditional industries by providing increased liquidity, transparency, and efficiency. We'll break down complex concepts in agent-based modeling, showcase its real-world use cases, and explain how it contributes to more dynamic and resilient tokenomics ecosystems. Whether you're a blockchain enthusiast, a developer, or someone interested in the future of digital assets, this case study provides valuable insights on how tokenomics can be applied to real-world assets through innovative modeling techniques.
Read more about the FIDO case study here 👉 Real World Asset Tokenomics: The Case of FIDO
#Tokenomics #RealWorldAssets #FIDOCaseStudy #Blockchain #Crypto #AgentBasedModeling #DeFi #DigitalAssets #SmartContracts #AssetTokenization #CryptoEconomy #BlockchainInnovation #DecentralizedFinance #TokenEconomy 🚀🔗
✨🔍 Keywords: tokenomics, real world assets, FIDO case study, agent-based modeling, blockchain, digital assets, tokenization, asset-backed tokens, decentralized finance, DeFi, tokenomics case study, agent-based simulation, crypto economy, smart contracts, asset tokenization
Read more about the FIDO case study here 👉 Real World Asset Tokenomics: The Case of FIDO
#Tokenomics #RealWorldAssets #FIDOCaseStudy #Blockchain #Crypto #AgentBasedModeling #DeFi #DigitalAssets #SmartContracts #AssetTokenization #CryptoEconomy #BlockchainInnovation #DecentralizedFinance #TokenEconomy 🚀🔗
✨🔍 Keywords: tokenomics, real world assets, FIDO case study, agent-based modeling, blockchain, digital assets, tokenization, asset-backed tokens, decentralized finance, DeFi, tokenomics case study, agent-based simulation, crypto economy, smart contracts, asset tokenization
Переглядів: 45
Відео
Trump in Crypto 2024
Переглядів 1842 місяці тому
thedatascientist.com 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...
AI in tokenomics: A review
Переглядів 745 місяців тому
thedatascientist.com 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...
Podcast: Generative AI in Design with Bence Csernak
Переглядів 1206 місяців тому
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...
Podcast: Emission Curves for token economies
Переглядів 187 місяців тому
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. thedatascientist.com About Dr Kampakis Dr Stylianos...
What you need to know about AI
Переглядів 527 місяців тому
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 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 ...
AI in 2024: Predictions for the year ahead
Переглядів 2788 місяців тому
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. About Dr Kampakis Dr Stylianos ...
Podcast: Generative AI and Synthetic Humans - Alex Uspenskyi from Elai.io
Переглядів 11310 місяців тому
Podcast: Generative AI and Synthetic Humans - Alex Uspenskyi from Elai.io
The future of data engineering and data pipelines
Переглядів 12511 місяців тому
The future of data engineering and data pipelines
Podcast: Predicting the unknown - The history and future of AI and data science
Переглядів 141Рік тому
Podcast: Predicting the unknown - The history and future of AI and data science
Ryan Janssen on Large Language Models and AI
Переглядів 69Рік тому
Ryan Janssen on Large Language Models and AI
Dr Kampakis and Dr Lewis on AI and org culture part 2!
Переглядів 6Рік тому
Dr Kampakis and Dr Lewis on AI and org culture part 2!
Ai and data science bright future #shorts
Переглядів 74Рік тому
Ai and data science bright future #shorts
Is the full course still available anywhere? Thank you!
This was way over my head.
P r o m o s m 😒
🤩 P r o m o s m
Thank you for this podcast. It is quite informative!
Thank you! Glad you like it!
the Fabrizio Romano of data science 🙌 AI agents here we gooooo 😅
2030 is the year. By then have multiple passports, diversified portfolio and ideally a bunker in mountains with some food supply. Good luck to all of us.
The pace of change is going to be exponential
Great work Stelios, Enjoyed your insight and take on this! 👏
Thank you James!
Hi
Thank you so much amigo
Very nice.. thank you for bring goods persons.
ᵖʳᵒᵐᵒˢᵐ
2:54 i think there is mistake on the slide where it says "lower elasticity of demand". It should be either "lower ability to pay", or "great elasticity of demand". Why? Because when you lower the price, that has positive effect in term of attracting buyers who otherwise weren't able to pay the regular price. That means there is an "additional" demand which is reacting to this change, hence it is elastic. On the other hand "lower elasticity of demand" as it is written means vertical line, hence no alternatives for buyers when the prices goes up and the high price must be payed, that is inelastic demand, and in this scenario the units are rather low.
You'll probably get a few more views since Erica Claire Stanford has been flagged up
please add understanding Understanding Bayesian networks and statistics (part2): Introduction Deep learning 2022 in your bio
Showing different users different prices at the same time is kind of discrimination, isn't it?
well said
Great explanation. thank you so much 💖🙏💯
Quality work pal. use a service such as P-R-O-M-O-S-M.
Why apple does not have dynamic pricing?
Thank you very much
🖖
i appreciate the insights of practical wisdom given to business strategies
its simple n amazing tutor
Thank you! Did you register on my blog? thedatascientist.com
Excellent Video
glad you like it! Have you checked out my website? thedatascientist.com ?
x87 vun.fyi
Great exchange hope you make more interviews 👍
Thank you! :)
Thank you for the valuable information. I'm learning from you 😌🙏
Glad to be of help! :) are you studying data science?
Hi Sir, Is this the only way to do dynamic pricing? Please suggest me if there any alternatives.
Hi, there are other ways to do dynamic pricing, like using reinforcement learning. Message me at stelios@thedatascientist.com . We are running bootcamps on this topic if you are interested to learn more!
thanks for sharing this. It is making me rethink my own plans on how to move ahead in DS
Feel free to contact me if you have any questions about your path in data science. Http://thedatascientist.com
@@stylianos_kampakis_AI Oh we have connected on LinkedIn and I look forward to interacting with you next month. Thanks
Do you feel future generations will need degrees or that data science and analysis will become a "common" job?
I think that data science will become easier to do as years go by. There are many companies investing in automating the data science pipeline itself. That being said, I think that data analytics will also become part of the school curriculum.
Great channel!
Thank you Matthew!
Thank you for this clear explanation! I've struggled through my class lecture slides and a couple articles, but this is a much better overview to get me started. Thank!
Excellent
Useful video...would like to know more in depth...
very nice video !!!
Thank you so much!
9:47 “You want to make sure that your data is not...” sorry missed what you said
there's no asymptote!
The best hacking services i can recommend for anyone is *premiumtoolsaid*com*, they got me 10,000 pounds
Can't know how I bumped onto this. All in all GREAT clip 🥇😎. I also have been watching those rather similar from MStarTutorials and kinda wonder how you guys make these clips. MSTAR TUTORIALS also had cool information about similiar make money online things on his channel.
Very Interesting presentation on the Virtual Reality Tech, there is no doubt VR is going to disrupt the way the manufacturing enterprises conduct their business and operations, these are couple of usecase that Industry leader talk about in the webinar we had conducted earlier- Follow this link: hubs.la/H0D7Lfl0
Great work! Keep it up
Hi Stelios, fantastic video, I'm getting a lot of ideas for the work that I'm doing right now for the US company giant that recently started adopting digitalization in their business. Thank you for sharing.
Thank you Milan. Feel free to reach out to me at stelios@thedatascientist.com
Really lucid explanation.
No one asks how is Datalyst.
Very clear and engaging, thank you for sharing
Why uk is slow in the race of AI ?
blah-blah-blah programmers losing jobs.
Sort of like if you sell an AI for a service, do we offer a Rolls Royce of AI as standard to perform menial jobs, like poouring ice-cream cones, or do we use a simpler system that reflects the level of hardware? So you don't run Deep Thought on a 1.6GHz processor and you don't run our ice-cream maker on an IBM Q Experience, I guess!
useful video