Episode 17: The Incentive Problem in Shipping AI Products

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High Signal: Data Science | Career | AI

Delphina

27 episodes

6 days ago

Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/

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All content for High Signal: Data Science | Career | AI is the property of Delphina and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

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Episode 17: The Incentive Problem in Shipping AI Products — and How to Change It

High Signal: Data Science | Career | AI

53 minutes 52 seconds

5 months ago

Episode 17: The Incentive Problem in Shipping AI Products — and How to Change It

Roberto Medri, VP of Data Science at Instagram, explains why most experiments fail, how misaligned incentives warp product development, and what it takes to drive real impact with data science. He shares what teams get wrong about launches, why ego gets in the way of learning, and how Instagram turned Reels from a struggling product into a global success. A candid look at product, data, and decision-making inside one of the world’s most influential platforms.

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