Build products that leverage AI for the common good and commercial success
Take macro data and use it to show your customers you’re a source of truth
Best practices and common pitfalls that impact companies while developing AI product

Description

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.

Who is this book for?

This book is for product managers and other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected. If you understand the importance of AI as the rising fourth industrial revolution, this book will help you surf the tidal wave of digital transformation and change across industries.

What you will learn

Build AI products for the future using minimal resources
Identify opportunities where AI can be leveraged to meet business needs
Collaborate with cross-functional teams to develop and deploy AI products
Analyze the benefits and costs of developing products using ML and DL
Explore the role of ethics and responsibility in dealing with sensitive data
Understand performance and efficacy across verticals

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Vanessa Merck Jul 21, 2024

Geht nicht auf die Neuerungen durch LLMs wie Chat-GPT ein. Nur Basis Wissen zu allgemeiner KI. Nicht zu empfehlen.Autoren mit mehr Kompetenz wären wünschenswert.

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Tenacious1976 Jul 02, 2024

As a pretty new product manager and as part of a team that is really focused on AI, I was keen to pick this up and get some deeper insights into working with AI as a product manager. This book stands out for its practical approach, demystifying complex machine learning concepts and offering actionable insights that bridge the gap between technical teams and product managers.One of the book's strongest points is its structured roadmap, which walks readers through the entire AI product lifecycle—from ideation and feasibility analysis to development and post-launch iterations. It effectively highlights the importance of collaboration between data scientists, engineers, and product managers, providing tools and frameworks to facilitate seamless communication and project alignment.Moreover, the case studies included are particularly enlightening, showcasing real-world applications of AI and the challenges encountered. These examples not only illustrate successful implementations but also provide valuable lessons from less successful attempts, making it a well-rounded educational resource.While the book is rich in detail, it remains accessible to those who may not have a deep technical background. The author's ability to explain machine learning principles in a clear and concise manner ensures that readers of varying expertise can grasp and apply the concepts.

Ned Thompson May 31, 2024

Well written as it went into great depth on AI and its influence on a product's development. With AI being such a hot topic, it was great to see it put in perspective and the eventual influence AI will have on product development and management in the future. Really appreciate that this book cuts through all the talk and focuses on important aspects.

A. Nog. Mar 18, 2024

Great resource for AI POs. Entire book I received has print quality issues though: entire paragraphs cut off or missing.

Kam F Siu Jan 30, 2024

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The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

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The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

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