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.
4 Luglio 2018“Quando diminuirà il costo dell’Intelligenza Artificiale, succederanno cose straordinarie”. Intervista ad Avi GoldfarbI sistemi predittivi, quelli che con l'AI permettono di anticipare risposte sul futuro, costeranno sempre meno e saranno sempre più efficaci. Il perché ce lo racconta Avi Goldfarb, docente di Marketing all’Università di Toronto, all'interno del Festival dell'Economia 2018