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The AI Product Manager's Handbook

You're reading from   The AI Product Manager's Handbook Develop a product that takes advantage of machine learning to solve AI problems

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804612934
Length 250 pages
Edition 1st 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 (19) Chapters Close

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 FREE CHAPTER 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

Summary

The AI revolution is happening at many levels, and in this chapter, we took a look at a few of the major areas of how AI is impacting industries as a whole, companies from the inside out, and the role of product managers as well. For the companies finding themselves in industries that are now seeing AI transformation, the first part of this chapter focused on the various areas of AI adoption across industries and how this is affecting the future of work itself. The second part of this chapter focused on how AI is transforming companies themselves and how you can get started at the organizational level to prepare for AI adoption. The third part of this chapter then took these concepts down a level to the product manager-level view and the mindset needed from the product's organization to ensure AI is adopted within a product in a way that ensures integrity and strength moving forward.

In the next chapter, we will be exploring the various ways we’re seeing AI trending...

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