Upcoming Sessions
Session starting on
Location
Fontainebleau
Duration
3 days
Fees
€
9,000
Programme Director
Ville Satopaa is an Associate Professor of Technology and Operations Management at INSEAD. Before joining INSEAD, Ville received his MA and Ph.D. degrees in Statistics from the Wharton School of the University of Pennsylvania. He also holds a BA in Mathematics and Computer Sciences from Williams College.
Ville has decades of experience on data analytics. His current research studies collective intelligence of humans and/or AI in forecasting and decision-making. This involves developing general theory and methodology on information fusion and also specific projects that leverage AI for synthetic personas, experimental design, or conflict resolution. His expertise bridges theoretical advancements with practical applications, making significant contributions to both academia and industry. In recognition of his impact on management practice, he was named to the Thinkers50 Radar Class of 2024.
At INSEAD Ville teaches Business Model Analysis & Innovation (MBA), Bayesian Analysis (Ph.D), Discrete Stochastic Processes (Ph.D.), Principles of Forecasting (MBA), and Artificial Intelligence in Business (Executive Ed.). He has also co-developed an online course called Transforming Business with Artificial Intelligence (Executive Ed.).
Ville has several research papers published in the top statistics journals (e.g., the Journal of American Statistical Association and Annals of Applied Statistics), top management journals (e.g., Management Science and Operations Research), and top field journals (e.g., International Journal of Forecasting and Health Services Research). His research has been acknowledged with various awards, including winning the Section on Bayesian Statistical Science Student Paper Competition in 2015 and being selected as a runner-up for Decision Analysis Society (DAS) 2020 Student Paper Award and as a finalist for the Best Paper Award by the 2020 INFORMS Workshop on Data Mining and Decision Analytics. In the MBA programme, he has received the Deans' Commendation for Excellence in Teaching multiple times and has also won the Best Teacher Award.
Ville Satopaa
Associate Professor of Technology and Operations Management
Ville Satopaa
Associate Professor of Technology and Operations Management
Faculty
Phanish’s research in organization science focuses on how organizations work, and how we can make them work better. His current work focuses on different ways in which intelligent algorithms relate to organizations, in their roles as tools (e.g., machine learning applied to organizational data), team-mates (e.g., human-AI collaboration), and as templates for organizing (e.g. multi-agent orchestration).
Besides publishing his research extensively in peer reviewed journals re-Humanize” is written for a general audience and explores what organizations of the future might look like, in the light of rapid changes in technology and culture.
At INSEAD Phanish Puranam founded and co-directs the Human Capital in the Age of AI programmes for senior executives.
Phanish Puranam
Professor of Strategy
Phanish Puranam
Professor of Strategy
Professor of Technology and Business at INSEAD since 2001, after having spent 10 years in MIT. Working on AI for almost 30 years on areas ranging from AI innovations for business process optimisation and improving decisions, to AI strategy, understanding and managing AI risks, AI governance, regulations, as well as on new Machine Learning theory and methods. He is currently director of the INSEAD Executive Education programs on “Transforming your Business with AI” and on “AI for Business". He has been a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, and a World Economic Forum Academic Partner for Artificial Intelligence. Together with three INSEAD alumni he co-founded Tremau, a technology company that provides content moderation solutions to online platforms and whose mission is to help ensure digital technologies are both beneficial and safe. He advises companies on topics of technology, AI and business strategy, and is a frequent keynote speaker in academic, industry, and corporate events. His work has appeared in leading journals and mentioned in global media, such as in Science Magazine, Nature Machine Intelligence, Machine Learning, Nature Digital Medicine, Management Science, Harvard Business Review, Bloomberg, Fortune, and others. He has four degrees from MIT, two BSc degrees simultaneously, Computer Science and Mathematics, a Master and a PhD degree in Computer Science with a focus on machine learning.
Theodoros Evgeniou
Professor of Technology and Business, INSEAD
Theodoros Evgeniou
Professor of Technology and Business, INSEAD
Please note programme faculty may change
