In this article, the author talks about two of the most prominent applications of AI in FP&A: forecasting and digital twins. He also outlines challenges that FP&A professionals may face when dealing with AI and suggests how to overcome them.
August 18, 2021
Data today is being created and consumed at an unprecedented scale. Data science is progressing even faster, further speeding up the rate of data creation and consumption. The companies that are the first to adopt the best practices will gain a significant advantage. The rest might just perish.
Stylianos 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 maintenance and others.
He is a member of the Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School and CEO of The Tesseract Academy.
Dr Stylianos Kampakis is the author of several books, including the following ones:
Author's Articles
October 17, 2023
In this article, the author talks about two of the most prominent applications of AI in FP&A: forecasting and digital twins. He also outlines challenges that FP&A professionals may face when dealing with AI and suggests how to overcome them.
August 18, 2021
Data today is being created and consumed at an unprecedented scale. Data science is progressing even faster, further speeding up the rate of data creation and consumption. The companies that are the first to adopt the best practices will gain a significant advantage. The rest might just perish.