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The Unavoidable Future of Advice: Making Smarter Recommendations About Smarter Recommendations | MIT Sloan Executive Education

The Unavoidable Future of Advice: Making Smarter Recommendations About Smarter Recommendations

In this webinar, MIT Sloan School research fellow Michael Schrage explains the science and societal impact of recommendation engines—the systems that allow companies to know what products, services, and experiences “you might also like.”

Faculty & Staff Thought Leadership AI Digital Business & IT
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Michael Schrage

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30 Minutes

OCTOBER 8, 2020

Need To Know


Drawing on his new book on the topic, Michael Schrage discusses:


  • How “choice architectures” are transforming the power, presence, and pervasiveness of advice
  • The network effects, machine learning, and Nobel Prize winning economics behind these technologies
  • How companies like Netflix, TikTok, Amazon, GitHub, Google, Spotify, Tinder, and LinkedIn have made billions by investing in recommendation engine algorithms
  • Why you and your company may need to rethink how to invest in these new “technologies of advice” both for yourselves and your customers

Michael Schrage

Copy Link

30 Minutes

OCTOBER 8, 2020

Need To Know


Drawing on his new book on the topic, Michael Schrage discusses:


  • How “choice architectures” are transforming the power, presence, and pervasiveness of advice
  • The network effects, machine learning, and Nobel Prize winning economics behind these technologies
  • How companies like Netflix, TikTok, Amazon, GitHub, Google, Spotify, Tinder, and LinkedIn have made billions by investing in recommendation engine algorithms
  • Why you and your company may need to rethink how to invest in these new “technologies of advice” both for yourselves and your customers