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The AI Product Manager's Handbook

The AI Product Manager's Handbook

By : Irene Bratsis
4.6 (28)
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The AI Product Manager's Handbook

The AI Product Manager's Handbook

4.6 (28)
By: Irene Bratsis

Overview of this book

Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed. The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products. You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this book, you’ll have understood how to navigate the world of AI from a product perspective.
Table of Contents (19 chapters)
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1
Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
7
Part 2 – Building an AI-Native Product
13
Part 3 – Integrating AI into Existing Non-AI Products

AI Transformation and Its Impact on Product Management

As I look to the future and imagine what’s to come regarding AI products, I feel tremendous inspiration and optimism about AI’s ability to help us out of some of the greatest challenges that face humanity. I moderate a monthly talk with Women in AI called WAITalks. Many of my questions during these monthly talks are recurring questions, largely centered on how the speakers broke into the field, what excites them most about AI, and what they wish others knew about their area of AI. There’s a lot of beauty and insight from how the various women working in AI, from research to corporate to entrepreneurship, answer the same set of questions.

One of our March 2022 speakers worked in AI policy at Meta. Because so much of her work involves ethics, we spent a great deal of time discussing the risks and inherent problems AI poses. After some time on that, I wanted to know what someone in her position looks forward...

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The AI Product Manager's Handbook
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