Upcoming Sessions
Session starting on
Location
Singapore
Duration
5 days
Fees
S$
16,100
Programme Directors
Phanish Puranam
Professor of Strategy
Professor Phanish PuranamProfessor of StrategyThe Roland Berger Chaired Professor of Strategy and Organisation DesignResearch Director of the INSEAD-Wharton Alliance
Phanish Puranam
Professor of Strategy
Theodoros Evgeniou
Professor of Technology and Business
Theos Evgeniou has been on the INSEAD faculty since 2001 and director of the INSEAD Executive Education programme, Transforming your Business with AI.
He has been working on Machine Learning and AI for almost 30 years, on areas ranging from AI innovations for business process optimization and improving decisions, to AI risks and 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 has been a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, a World Economic Forum Academic Partner for AI, 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 organizations in his areas of expertise. 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.
Theodoros Evgeniou
Professor of Technology and Business
Ville Satopaa
Associate Professor of Technology and Operations Management
Ville Satopaa is an Associate Professor of Technology and Operations Management at INSEAD. His current research explores different areas of forecasting: judgmental and statistical forecasting, modeling crowdsourced predictions, combining and evaluating different predictions, and information elicitation. It involves developing general theory and methodology but also specific projects that analyse real-world data. In addition to working on forecasting, Ville has experience in applying Bayesian statistics to rank hospitals in terms of disease-specific mortality rates.
Before joining INSEAD, Ville received his MA/PhD 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 Satopaa
Associate Professor of Technology and Operations Management
