Podcast: Predicting the unknown – The history and future of AI and data science
I am proud to say that my new book has recently been published and is available on Amazon! It’s been the result of more than 3 years worth of work
Podcast: Predicting the unknown – The history and future of AI and data science
I am proud to say that my new book has recently been published and is available on Amazon! It’s been the result of more than 3 years worth of work
What should a data science course include?
The problem with data science courses There are many resources, free and paid, for learning data science. However, most of them are not really complete, and they have the wrong
Reinforcement Learning Tutorial: Hands-on Implementation With Python
Reinforcement Learning has been the main driver of emerging technology in recent times. It is the base of all the solutions, from self-driving cars to AI chatbots. Reinforcement Learning has revolutionized
Barriers to the adoption of cryptocurrency
Blockchain and cryptocurrencies are revolutionary technologies that are promising to completely change many facets of our lives, from banking to logistics to operations. However, while ICOs have raised billions of
Top benefits of blockchain technology for business
Enhancing the bottom line and building trust With blockchain for business, members can only access an immutable shared ledger with their permission. Organizations and members control what information each can
The tokenomics auditing framework is published by the JBBA!
Auditing tokenomics I am very proud to announce that the tokenomics auditing framework is published by the Journal of the British Blockchain Association. Tokenomics, the study of token economies, is a
How to beat GDPR in research: synthetic data
Data privacy and data security have become a major issue of our times. GDPR in Europe has now enforced strict rules as to how data is gathered, stored and used. This can quickly become an
How financial institutions can benefit from machine learning
The Bank of England recently released a very interesting report about the use of machine learning in UK’s finance services. One of the things that stand out in this report is that
Confidence intervals for ICOs and cryptocurrency prices
Probability distributions for ICO pricing Valuing ICOs is not an easy task, given that there is no standard methodology yet. I have presented such a methodology in another post, which is
How can you value ICOs and crypto token offerings in blockchain and web3?
Why we need a model for token valuations Tokenomics is an indispensable part of an ICO, or what these terms is more generally referred as a token offering (this term
Cryptocurrency security threats: from Mt Gox to Bitstamp
The digital nature of Bitcoin makes it vulnerable to hacking. While traditional banks holding fiat currencies are not exempt from breaches, incidents happen more frequently with cryptocurrencies. Since the emergence of Bitcoin, the
Enterprise Data Warehouse: Concepts and Architecture
Enterprise Data Warehouse – Definition An enterprise data warehouse is a centralized digital repository. It gathers, polishes, and stores vast amounts of data from every department of an enterprise. With
Book Presentation: Predicting The Unknown -The History of AI & Data Science
It is with immense joy and a sense of accomplishment that I introduce you to “Predicting the Unknown – The History of AI and Data Science” – a book that
Join my exclusive data science program and get mentored personally by me.
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, the Cyprus Blockchain Centre, a data science advisor for London Business School and CEO of The Tesseract Academy.