With Avi Goldfarb
This conversation is for all of us who are interested in taking an economist lens of thinking about technology and the statistical nature of prediction.
As prediction becomes cheaper, what are the cream and sugar to prediction in this space? Join this informative conversation with Avi and Lauren to learn more about power and prediction.
Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab and a Research Associate at the National Bureau of Economic Research. A former Senior Editor at Marketing Science, his research focuses on the opportunities and challenges of the digital economy. He has published academic articles in marketing, computing, law, management, medicine, physics, political science, public health, statistics, and economics.
He co-authored the bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. His work on online advertising won the INFORMS Society of Marketing Science Long Term Impact Award, and he testified before the U.S. Senate Judiciary Committee on competition and privacy in digital advertising.
Avi received his Ph.D. in economics from Northwestern University. His new book, also a bestseller, Power and Prediction, was published in November by Harvard Business Review Press.
