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“Business Patterns in Emerging Technologies” by Dr. Kampakis presents the latest approaches to data strategy and blockchain


Dr. Stylianos Kampakis

LONDON, GREATER LONDON, UK, October 3, 2022 / — After a groundbreaking book on simplifying data science for leadership, Dr. Stylianos (Stelios) Kamakis released a new book, “Business Models in Emerging Technologies,” a high-level guide that reveals the rich potential of artificial intelligence and blockchain and how every business can benefit from it.

Co-authored with Dr. Theodosius Mourouzis, Gerard Cardoso and Dr Marialena Zinopoulou, the new work is aimed at entrepreneurs and leaders in various fields of activity who are neither technologists nor programmers, but would like to know what data science is and the many fancy words such that machine learning, neural networks, or blockchain technologies have to offer. The work derives from the ideas and experience of the authors on the theoretical and applied aspects of these fields.

A “data-driven culture” can bring many benefits to any business today. Being “data-aware” is just the beginning of an adventurous journey that ends in becoming “data-driven,” which results in making decisions and scaling a business on the basis for data analysis. A data strategy, as defined in the book, is not dead and static, but a living document, and relates to how a business is set up and how it uses data for its long-term strategy. term.

This book takes cutting-edge technologies in data science and introduces them to a non-technical reader. It reveals the concept of data strategy and then explores how to build a talented team to build a data-centric culture. The final chapters cover blockchain, Web3.0, De-Fi, NFTs and Metaverse technologies, supported by case studies, in B2B and B2C contexts.

“This book is the result of almost two years of work, and I am more than proud to present it to the public,” says Dr. Stylianos Kampakis.

What makes “Business Models in Emerging Technologies” unique is that in addition to demystifying all the fancy words associated with data science, it also includes real case studies, maturity assessment frameworks and from readiness to deployment, with a particular focus on recommender systems, forecasting and sentiment analysis. The work uses the Microsoft Teams Data Science process, and the Tesseract AcademyThe 2-player problem solving framework.

Dr. Kampakis has over a decade of theoretical and practical experience in data science and artificial intelligence. He was among the first scholars to discuss tokenomics. Dr. Kampakis holds various qualifications including a Ph.D. in computer science and degrees in AI, statistics and psychology. He is a Fellow of the Royal Statistical Society, the UCL Center for Blockchain Technologies, and is a Data Science Advisor to the London Business School and a Mentor for the Judge Business School at the University of Cambridge. He founded The Data Scientist and the Tesseract Academy with the aim of spreading and popularizing data science around the world.

“Business Models in Emerging Technologies” is available on Amazon.
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