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Product Management for AI
book

Product Management for AI

by Justin Norman, Peter Skomoroch, Mike Loukides
February 2021
Beginner
61 pages
1h 29m
English
O'Reilly Media, Inc.
Content preview from Product Management for AI

Chapter 1. What You Need to Know About Product Management for AI

A product manager for AI does everything a traditional PM does, and much more.

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. You’re responsible for the design, the product-market fit, and, ultimately, for getting the product out the door. But there’s a host of new challenges when it comes to managing AI projects: more unknowns, nondeterministic outcomes, new infrastructures, new processes, and new tools. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space.

Whether you manage customer-facing AI products or internal AI tools, you will need to ensure that your projects are in sync with your business. This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. A PM for AI needs to do everything a traditional PM does, but they also need an operational understanding of machine learning software development along with a realistic view of its capabilities and limitations.

Why AI Software Development Is Different

AI products ...

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Publisher Resources

ISBN: 9781098104207