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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

Managing costs and pricing – AI is expensive

As you may recall, we discussed the costs associated with building an AI/ML program in Chapter 2 and Chapter 3. Formulating a pricing strategy will be a highly personalized experience that will involve a number of factors, from the comparative prices of your competition to the operating costs for managing your AI/ML infrastructure and workflows. In this section, we will briefly cover the various aspects of AI product management that impact costs and how to use this knowledge to inform your pricing strategy so that you’re aware of the main contributors to your AI/ML program costs.

Given the high cost of operating, you’ll want to be sure that your product serves the needs of your market and your customers as quickly as you can. Keep in mind that your costs are likely high when managing an AI/ML program, but they’re also dependent on how many AI features you’ve built into your product, particularly if...

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