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blockchain analytics

Blockchain analytics is the process of analyzing blockchain data to understand the underlying trends and patterns. This tipe of analytics can be applied to a wide range of use cases. It can be used for e-commerce, supply chain management, and even social media campaigns. Blockchain analytics is an emerging field that has been gaining popularity in recent years.

It can be used to provide insights into the behavior of users of blockchain-based applications. For example, in a recent survey that was conducted by Deloitte and the Blockchain Research Institute, it was revealed that over 80% of the participants believed they would be able to make better financial decisions when they have access to a full dataset on consumer transactions.Another use case of blockchain analytics is in business strategy development.

an imaginary digital univers
Artificial Intelligence

Mark Zuckerberg’s Metaverse: What is it and How Will it Work?

Facebook, the company known for some of the most popular social media platforms, has recently changed its name to Meta. It is known as the next-gen technology that will change how people interact online. The future of the internet is not just about the increase in internet connectivity, but also Read more…

By , 1 yearJanuary 17, 2022 ago
Blockchain

Podcast: Blockchain analytics with Freddy Zwanzger

Blockchain and data science are two of the hottest technologies right now. It is not often that you hear about both of them being used in tandem. However, one company is doing exactly that. I had the chance to interview Freddy Zwanzger from Anyblock Analytics. Anyblock Analytics allows anyone to Read more…

By , 2 years ago
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About 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, a data science advisor for London Business School and CEO of The Tesseract Academy.

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The Data Scientist, 85 Great Portland St, London W1W 7LT, United Kingdom
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