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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

Emerging technologies – ancillary and related tech

ML and DL have been used heavily in applications related to natural language processing (natural language generation (NLG), as well as natural language understanding (NLU)), speech recognition, chatbots, virtual agents and assistants, decision management, process automation, text analytics, biometrics, cybersecurity, content creation, image and emotion recognition, and marketing automation. It’s important to remember, particularly from a product manager’s perspective, that AI will increasingly work its way into more of how we live our lives and do our work. This is doubly true if you work in an innovative capacity as a product manager where you’re involved with the ideation and creation of new use cases and MVPs for future products.

Over the passage of time, we’ll see AI continue to augment our workforce both through the process of internal automation as well as through the adoption of AI-based...

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