September 26-27, 2016
New York, NY
Tom Davenport

Tom Davenport
Professor, Babson College, MIT


Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the cofounder of the International Institute for Analytics, a fellow of the MIT Center for Digital Business, and a senior advisor to Deloitte Analytics. Tom teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article (and his 2007 book by the same name). Tom has written or edited 17 books and over 100 articles for Harvard Business Review, Sloan Management Review, the Financial Times, and many other publications. He also writes a weekly column for the Wall Street Journal’s Corporate Technology section. His most recent book is Only Humans Need Apply: Winners and Losers in the Age of Smart Machines (with Julia Kirby). Tom has been named one of the Top Three Business/Technology Analysts in the World, one of the 100 Most Influential People in the IT Industry, and one of the world’s Top 50 Business School Professors by Fortune magazine. Tom earned a PhD from Harvard University in social science and has taught at the Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, Boston University, and the University of Texas at Austin.


11:00am–11:40am Monday, 09/26/2016
Impact on business and society
Location: 3D08 Level: Non-technical
Tom Davenport (Babson College, MIT)
Average rating: ***..
(3.83, 6 ratings)
The automation of decisions and actions now threatens even knowledge-worker jobs. Tom Davenport describes both the threat of automation and the promise of augmentation—combining smart machines with smart people—and explores five roles that individuals can adopt to add value to AI, as well as what these roles mean for businesses. Read more.