AI & Business: creating value, minimising risks

TAI in business is, in some ways, a natural evolution of the 30-40 years of developments of enterprise technologies - from ERPs and business process re-engineering to internet technologies, big data, analytics, and now AI - and significant technological breakthroughs. What old lessons hold for this new technology regarding innovation and business value creation? What key new characteristics of this technology that investors, entrepreneurs, and executives need to consider? What are some trends to pay attention to in this space? What new organizational capabilities, regulations, and national policies to focus on? Finally, are there any unknown risks due to AI that we must manage, mainly as this technology develops at different speeds across regions? These are some questions we will discuss.

Theodoros Evgeniou

Professor of Decision Sciences and Technology Management

Bio

Theos Evgeniou is a professor of Decision Sciences and Technology Management at INSEAD and director of the INSEAD Executive Education program on Transforming your Business with AI.

He has been working on Machine Learning and AI for the past 25 years, on areas ranging from AI innovations for business process optimization and improving decisions in Marketing and Finance, to AI regulation, as well as on new Machine Learning methods. His research has appeared in leading journals, such as in Science Magazine, Nature Machine Intelligence, Machine Learning, Lancet Digital Health, Journal of Machine Learning Research, Management Science, Marketing Science, Harvard Business Review magazine, and others.

Professor Evgeniou is a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, an advisor for the World Economic Forum Academic Partner for Artificial Intelligence, and together with three INSEAD alums also a co-founder of Tremau, a B2B SaaS company whose mission is to build a digital world that is safe & beneficial for all. He gives talks and consults for a number of organisations in his areas of expertise, and in the past he has been involved in developing hedge fund strategies with more than $100 million invested. He has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degree in Computer Science.