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The Artificial Intelligence Revolution (w/ Tom Davenport)

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Manage episode 255245310 series 2631927
Content provided by Jeff Schatten. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Schatten or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Tom Davenport is a professor of information technology and management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books including The AI Advantage and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D. from Harvard University and has taught at the Harvard Business School and the University of Chicago.

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47 episodes

Artwork
iconShare
 
Manage episode 255245310 series 2631927
Content provided by Jeff Schatten. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Schatten or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Tom Davenport is a professor of information technology and management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books including The AI Advantage and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D. from Harvard University and has taught at the Harvard Business School and the University of Chicago.

  continue reading

47 episodes

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