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AI Product Manager's Handbook

You're reading from   AI Product Manager's Handbook Build, integrate, scale, and optimize products to grow as an AI product manager

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882849
Length 484 pages
Edition 2nd Edition
Languages
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Author (1):
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Irene Bratsis Irene Bratsis
Author Profile Icon Irene Bratsis
Irene Bratsis
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Table of Contents (26) Chapters Close

Preface 1. Part 1: Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
2. Understanding the Infrastructure and Tools for Building AI Products FREE CHAPTER 3. Model Development and Maintenance for AI Products 4. Deep Learning Deep Dive 5. Commercializing AI Products 6. AI Transformation and Its Impact on Product Management 7. Part 2: Building an AI-Native Product
8. Understanding the AI-Native Product 9. Productizing the ML Service 10. Customization for Verticals, Customers, and Peer Groups 11. Product Design for the AI-Native Product 12. Benchmarking Performance, Growth Hacking, and Cost 13. Managing the AI-Native Product 14. Part 3: Integrating AI into Existing Traditional Software Products
15. The Rising Tide of AI 16. Trends and Insights Across Industry 17. Evolving Products into AI Products 18. The Role of AI Product Design 19. Managing the Evolving AI Product 20. Part 4: Managing the AI PM Career
21. Starting a Career as an AI PM 22. What Does It Mean to Be a Good AI PM? 23. Maturing and Growing as an AI PM 24. Other Books You May Enjoy
25. Index

Starting a Career as an AI PM

It’s no secret why the AI PM role has come into focus in recent years. The fast pace of AI, coupled with the budding discipline that is product management, makes the role attractive for a lot of people who are already familiar with tech. Part 1 of this book focused on the AI landscape to ensure PMs coming into the space could find accessible concepts surrounding all the various forms of machine learning (ML) and how they can be employed across products. Parts 2 and 3 of the book focused on the native AI product and the evolved AI product, respectively. That covers the two potential types of AI PM roles you’ll come across. I would consider this book as a very early step for someone considering a career as an AI PM. It’s meant to catch the interest of those who have musings about what an AI PM career could look like but haven’t taken the first major step yet. This part (Part 4) of the book is about crafting what that next step...

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