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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

Maturing and Growing as an AI PM

If you’ve been following along through all the chapters of this book and haven’t been dissuaded about embracing a career path of an AI PM – congratulations! You’ve made the decision to embark on an epic journey that will enrich your life. I mean that wholeheartedly. Although I’m not the kind of person who derives their sense of self-worth from the work they do, I find the role of AI PM very rewarding and worthwhile.

My decision to dive into AI and machine learning was a practical one. It’s true that I was excited by the possibilities AI could open for all of us. But in pragmatic terms, I chose this field specifically because I thought it would occupy my mind for the next couple of decades. When I started my journey, I didn’t know that I would end up becoming a PM. I just knew that I was mystified by the world of AI and, deep down, that nothing is so complicated that you can’t understand it...

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