The Decision Analytics Forum is an invitation-only series of lunch and dinner events. We invite leading behavioral economists and scientists to speak on their latest research. We also conduct and share research applying machine learning to decisions and behavioral economics.Request an invitation
OnCorps has long applied the principles of Sabermetrics in its AI powered decision guidance systems. We are pleased to announce Bill James, the central catalyst behind the book and movie, Moneyball, as our next speaker in Boston. Bill will describe the origins of Sabermetrics, early resistance, and impact the movement had on outcomes and leadership. OnCorps has developed sophisticated metrics for fund operations. Many of these metrics disprove conventional thinking around risk and errors in a similar fashion to the Sabermetrics movement in baseball.
Nicholas Christakis, Professor and Director of the Yale Institute on Network Science, shared research on the power of social networks to influence decisions. His work focuses on health and disease, providing a compelling analytic framework for predicting both the spread of disease and the promotion of health practices based on network analysis. Nicholas will share some of the insights from his new book: "Blueprint: The Evolutionary Origins of a Good Society," which was praised by Bill Gates who posted: "I highly recommend this book for anyone who is fascinated by human behavior. I was amazed to learn the real reasons why some societies survived and others perished."
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Karim R. Lakhani shows how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have constrained business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, drive massive scope increase, enabling companies to straddle industry boundaries, and enable powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions.