Podcast: What do people really think about artificial intelligence?
AI is disrupting multiple industries and is becoming part of everyday life. So, it makes sense to try and find out what society thinks about it. With some many different
Podcast: What do people really think about artificial intelligence?
AI is disrupting multiple industries and is becoming part of everyday life. So, it makes sense to try and find out what society thinks about it. With some many different
Why predictive maintenance is the next big thing in manufacturing
Maintenance is a fact of business for companies in many industries. Therefore, making the process more efficient is a key priority and has been for many years. This applies to
Thinking like a data scientist (without being one)
How to Think like a Data Scientist, Even If You Aren’t One if you want a data scientist – and have no inclination of becoming one – you might be
Podcast: Data science coaching
I have talked in the past about data science coaching. It is a new concept that blends together aspects of business coaching and data science consultancy. Data science is unique
What is anomaly detection, and why you need it.
An Introduction to Anomaly Detection and Its Importance in Machine Learning Data is becoming increasingly important in almost every conceivable field and area. From business and healthcare to law enforcement
Podcast: The AI transformation playbook
Andrew Ng is one of the biggest names in artificial intelligence. He published a guide which he calls the “AI transformation playbook” in which he outlines some of the principles
Free webinar by the Tesseract Academy!
As some of you might know, one of the companies I am involved in is the Tesseract Academy. The Tesseract Academy‘s mission is to educate the public, and especially decision
Review: The AI and Creativity Meetup in London
Review: The AI and Creative Meetup in London By Yasmin Chamchoun Last month, I was thrilled at the opportunity to attend The AI and Creativity Meetup event, hosted at the
Podcast: the core fields of data science
Data science consists of different sub-fields. This can be very confusing for newcomers. I’ve written in the past about things like the differences between AI and machine learning, or the
Are university degrees for data science about to replaced?
MOOCs There is no question that university degrees are being disrupted. Over the last 10 years, we have seen multiple innovations in the area of education. The first major innovation
Performance measures: RMSE and MAE
In our first post about performance measures we talked about Cohen’s kappa. This time I want to talk about two different measures: The Root Mean Squared Error (RMSE) and the Mean
Podcast: Is China going to overtake the US in data science research?
China has been progressing rapidly in AI research in the last few years. However, for many years Chinese papers had been blamed for their poor quality. But this is now
How can you know you are ready for blockchain?
Blockchain has been one of the hottest buzzwords of the last few years. Initial Coin Offerings, tokenomics, the crypto-bubble, dApps, Bitcoin and Ethereum, all these words have dominated a large
Podcast: Are distributed ledgers useless?
Distributed ledgers are promoted as a solution to all problems. But, as it is always the case with technology, there are some good applications and some useless applications. This has
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.