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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

Macro and Micro AI for Your Product

The term AI is often used as an umbrella term that encapsulates the idea that a machine, whether physical or not, is mimicking the way humans either think, work, speak, express, or understand. This is a pretty big concept to wrap up in one term. It’s hard to embody not just the diversity of models and use cases but the implementation of these models and use cases themselves. This chapter will serve as a handy recap of the various types of AI that products can absorb as you begin to explore the various ways you can leverage AI, as well as some of the most successful examples and common mistakes that can arise as PMs build AI products.

It’s important to note that the application of AI has seen many iterations and will continue to do so as we build into the next decade, but it’s hard to understate the importance of what this technological wave can offer PMs and companies. This is a substantial wave of innovation that’s...

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The AI Product Manager's Handbook
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