Michael Schrage on Recommendation Engines - Episode #14

Michael Schrage on Recommendation Engines - Episode #14

Author: Seth Earley April 6, 2022 Duration: 57:04
In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines." Highlights: 3:44: checkered past 12:50: covering the overwhelming nature of technology 15:50: why do people make decisions 18:21: Perfect choice-what are the right choice architectures? 24:25 Recommendation engines: The hand you're delt - how the bluff matters 26:15: How do we use tools and technologies to come up with better...

Seth Earley sits down with a diverse mix of experts, from visionary thinkers to hands-on practitioners, for conversations that cut through the hype surrounding artificial intelligence. The Earley AI Podcast focuses on the tangible intersection of emerging technology and real-world business needs. Each discussion moves beyond abstract possibilities to examine the practical steps for implementing AI and machine learning within organizations. You’ll hear specific insights into data science, enterprise applications, and the evolving technological landscape. These episodes are grounded in the reality that AI is becoming deeply woven into both our professional tasks and personal routines. The dialogue consistently asks how we bridge the gap between ambitious potential and deployed, functional systems. For anyone curious about how these tools are actually built, integrated, and managed, this podcast offers a necessary and nuanced perspective. Seth guides these explorations with a focus on actionable knowledge, making complex topics accessible without oversimplifying the significant challenges and opportunities ahead. It’s a resource for understanding not just what AI can do in theory, but how it is changing our world in practice.
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