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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

AI customization

Through the act of productizing, you’ll likely start to create groupings or cohorts for your product. You might find that certain models work best for certain kinds of customers and build a structure around that. The act of grouping your offering into use cases and communicating differently or optimally to those cohorts builds on the wisdom gained from productizing. Taking that a step further, you’ll then naturally start to verticalize.

Understanding the various considerations for business models, verticals, and special customer groupings will be an important part of how you go to market with your product. For instance, if you’re supporting a B2C or consumer product, you’ll want to invest more in information gathering by acquiring more of your end users’ direct feedback for your ideation phase. Because you’ll be creating a product that’s going to be experienced by potentially millions of users, you will want a strong...

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