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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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Toc

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

Managing the AI PM Career

The rising prominence of AI PMs necessitates guiding you through foundational skills and knowledge, strategic insights, ongoing development practices, and continuous learning essentials for those looking to excel in the role.

The fourth part of this book will focus on those looking to start, excel, and mature in their careers as AI PMs. We will focus on how AI PMs can grow, thrive, and evolve into impactful leaders who spark innovation and mature into impactful professionals who contribute value to their organizations and industries. We’ll start with a comprehensive introduction for those aiming to launch their careers as AI PMs, continue onto the characteristics and expectations of an effective AI PM, and end with a review of the long-term growth and career evolution of AI PMs that foster a mindset of lifelong learning, openness to feedback, and generosity of spirit.

This part comprises the following chapters:

  • Chapter 17, Starting...
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