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How should Product Managers deal with AI-based products?

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Do traditional Product Management methods allow for efficient management of AI-based products? In this video, Michael Feng, a founder and product manager who has been building AI-driven products for the past 5 years, shares his view on the same and provides a framework on how to go about managing AI productively.

Key Takeaways:

AI Product Managers own the questions:

  1. What problem are we solving?
  2. Why is that problem valuable?
  3. Do we have relevant data that may solve the problem?
  4. How do we measure success?
  5. Are we building a system that learns?

Other key points:

  1. ‘Labeled’ data is the new oil. Unlabeled data is the new dirt.
  2. Understand the relevant model.
  3. Get labeled data.
  4. Construct a feedback loop.
  5. Measure relative performance.

Want to kickstart your product management career? Go for our Product Management Course and become a 10X better product leader!

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