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The AI Product Manager's Handbook

You're reading from  The AI Product Manager's Handbook

Product type Book
Published in Feb 2023
Publisher Packt
ISBN-13 9781804612934
Pages 250 pages
Edition 1st Edition
Languages
Author (1):
Irene Bratsis Irene Bratsis
Profile icon Irene Bratsis

Table of Contents (19) Chapters

Preface 1. Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
2. Chapter 1: Understanding the Infrastructure and Tools for Building AI Products 3. Chapter 2: Model Development and Maintenance for AI Products 4. Chapter 3: Machine Learning and Deep Learning Deep Dive 5. Chapter 4: Commercializing AI Products 6. Chapter 5: AI Transformation and Its Impact on Product Management 7. Part 2 – Building an AI-Native Product
8. Chapter 6: Understanding the AI-Native Product 9. Chapter 7: Productizing the ML Service 10. Chapter 8: Customization for Verticals, Customers, and Peer Groups 11. Chapter 9: Macro and Micro AI for Your Product 12. Chapter 10: Benchmarking Performance, Growth Hacking, and Cost 13. Part 3 – Integrating AI into Existing Non-AI Products
14. Chapter 11: The Rising Tide of AI 15. Chapter 12: Trends and Insights across Industry 16. Chapter 13: Evolving Products into AI Products 17. Index 18. Other Books You May Enjoy

Stages of AI product development

Whether your organization is robust enough that you’re supporting multiple product teams for various stages of your AI product development or lean enough that you’re running on a skeleton crew that will see your product through each stage, you’ll want to be cognizant of what these different stages are so that you can define success through each phase. There are various schools of thought on what product management is or should be. We’ll do our best here to summarize the various phases in a way that best summarizes the core aspects of AI product development.

Either way, as an AI PM or leader of an AI product, you’ll want to consider how your product relates to each of the phases described in the following subsections so that you can identify the phase your product is currently in and what you need to do to bring it to full maturity.

Phase 1 – Ideation

Just as with the traditional software product life...

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