Avi Goldfarb is the Ellison Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. Avi’s research focuses on the opportunities and challenges of the digital economy. He has published over 60 academic articles in a variety of outlets in marketing, statistics, law, computing, and economics. This work has been discussed in White House reports, Congressional testimony, European Commission documents, the Economist, the Globe and Mail, the National Post, CBC Radio, National Public Radio, Forbes, Fortune, the Atlantic, the New York Times, the Financial Times, the Wall Street Journal, and elsewhere. Along with Ajay Agrawal and Joshua Gans, Avi is the author of Prediction Machines: The Simple Economics of Artificial Intelligence to be published by Harvard Business Review Press in April 2018.
“When the cost of artificial intelligence goes down, extraordinary things will happen”. Interview with Avi GoldfarbPredictive systems, those that with AI allow to anticipate answers about the future, will cost less and will be more and more effective. Avi Goldfarb, professor of Marketing at the University of Toronto, tells us why during the 2018 Festival of Economics.July 4, 2018