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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

Summary

We’ve covered a lot in this chapter. We started with a discussion of the requirements for AI PMs entering the space from a theoretical and practical perspective, as well as a look into where the AI PM space can be better served by newcomers. We also looked at strategies and tools you can put in place to help you stay supported and inspired. We briefly looked at the major areas of AI that you could get involved in once you are ready to dip your feet in and concluded with a real-life case study to ground these ideas further.

Remember that this is just the first chapter in our discussion on the AI PM career path and we will be building on these ideas further in Chapters 18 and 19. We’ve only scratched the surface of this challenging and rewarding career path that’s still very much figuring itself out. AI and tech are here to stay. Even with market fluctuations and periods of uncertainty, we can be sure that our internal operations, ways of doing business...

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