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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

Basic needs – AI for Good

One thing that really struck me about the data science and AI/ML community when I first joined was how communal it was. My prior career was in sales and account management, and I took how competitive it was for granted. I was struck by the benevolence of the community. There were so many open source projects you could get involved in. You could put your projects up on Kaggle and win competitions. You could find an almost infinite supply of solutions to problems on Stack Overflow. I found a lot of success reaching out to people, who shared their perspectives on their area of AI. Never was this more apparent than when I reached out to potential speakers to host a panel or a workshop to teach others. It makes this field all the more compelling because if you do want to focus on a particular AI solution, you can find lots of friends along the way to join your cause and support you.

You’ll likely see the term AI for Good used by organizations that...

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