Dr. Tom Davenport and Dr. Elliot Bendoly discuss the challenges that AI poses to the operational processes of organizations that do not pay sufficient attention to the core competencies, latent expertise, learning potential and gaming-tendencies of their workforces. Moderated by Dr. Rajinder Bhandal.

Also see: The Cost Of Convenience

Don’t Let AI Slop Muck Up Your Company’s Processes

Tom Davenport is the President’s Distinguished 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, a Visiting Professor at Brown’s School of Professional Studies, and a Senior Advisor to Deloitte’s Chief Data and Analytics Officer Program. He has written or edited 26 books and over 300 print or digital articles for Harvard Business Review, 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, the University of Chicago, the Tuck School of Business, the UVA Darden School of Business, Boston University, and the University of Texas at Austin.

Elliot Bendoly, is the Richard M. Ross Chair in Management, Editor-in-Chief of the Journal of Operations Management (FT and UTD journal), Fisher College of Business Professor in the Department of Operations and Business Analytics, and Operations Management Distinguished Scholar (Academy of Management). He has served as Associate Dean of Undergraduate Students and Programs.  Prior to joining Fisher, Dr. Bendoly taught at Emory University’s Goizueta Business School, where he lead the Information Systems and Operations Management area/department, and held the title of Caldwell Research Fellow. During that time he also served as a visiting researcher at IE Business School in Madrid. Bendoly earned a PhD and MS in operations and decision technologies from Indiana University, and a BA in economics (industrial/development) as well as a BS in materials engineering from Case Western Reserve University.  Prior to graduate school, he served in a research capacity for both Intel and NASA.