Michael Schrage on How Recommendation Engines Create Value
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Michael is a research fellow with the MIT Sloan School of Management's Initiative on the Digital Economy. His research focuses on the behavioural economics of models, prototypes, and metrics as for managing innovation risk and opportunity. He is author of the award-winning book The Innovator’s Hypothesis and most recently Recommendation Engines. In this podcast we discuss the interaction of tech and capital, the architecture choice, time on board of Match.com, and much more. Follow us here for more amazing insights: https://macrohive.com/home-prime/ https://twitter.com/Macro_Hive https://www.linkedin.com/company/macro-hive
Michael Schrage on How Recommendation Engines Create Value