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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

Refreshing – the ethics of how often we update our models

When we think about the amazing power we have as humans, the complex brain operations we employ for things such as weighing up different choices or deciding whether or not we can trust someone, we may find it hard or impossible to believe that we could ever use machines to do even a fraction of what our minds can do. Most of us make choices, selections, and judgments without fully understanding the mechanism that powers those experiences. However, when it comes to ML, with the exception of neural networks, we can understand the underlying mechanisms that power certain determinations and classifications. We love the idea that ML can mirror our own ability to come to conclusions and that we can employ our critical thinking skills to make sure that process is as free from bias as possible.

The power of AI/ML allows us to automate repetitive, boring, uninspiring actions. We’d rather have content moderators, for...

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