Three Questions Every ML Product Manager Must Answer

Last week we hosted our second monthly AI & ML PM event in San Francisco. Five product managers who work daily with consumer or enterprise machine learning (ML) products from smaller startups to...

Last week we hosted our second monthly AI & ML PM event in San Francisco. Five product managers who work daily with consumer or enterprise machine learning (ML) products from smaller startups to larger tech companies joined us for a vibrant and diverse discussion.

We covered a wide range of different topics from the types of problems that are best suited for ML, unique challenges in managing ML products, use-case selection as well as prioritization, common mistakes in building ML products, best practices working with ML researchers or engineers, and the essential skills required to succeed as an ML PM.

And here are some of my favorite conversations.

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