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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

Goods and services – growth in commercial MVPs

Now the fun stuff! One of the great blessings of AI/ML is seeing just how creative we humans can get with it. In the previous section, we wanted to start with finance and business because this is the heart of the capitalist free market – everyone is in the business of making money at the end of the day, and product management is an inherently commercial role. Let’s take one step away from that and briefly explore the world of AI commercialization. What we mean by this is that various AI use cases are appearing across various industries and sectors. There are many to choose from, and we have no doubt someone out there will have all the fun in the world writing a book about all the creative and fun new ways you can use AI/ML across a wide variety of commercial industries, but here, we will only use a few key examples that we find particularly inspiring as promising, early MVPs.

In keeping with the theme of this chapter...

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