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The AI Product Manager's Handbook
The AI Product Manager's Handbook

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

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Key benefits

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2023
Length: 250 pages
Edition : 1st
Language : English
ISBN-13 : 9781804612934
Category :
Languages :

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Feb 28, 2023
Length: 250 pages
Edition : 1st
Language : English
ISBN-13 : 9781804612934
Category :
Languages :

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Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(28 Ratings)
5 star 78.6%
4 star 7.1%
3 star 7.1%
2 star 0%
1 star 7.1%
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Yiqiao Yin Mar 20, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book caters to individuals who aspire to become AI product managers, AI technologists, and entrepreneurs, as well as those with a casual interest in the process of creating AI products. It is suitable for those already engaged in product management with a curiosity for developing AI products, and for those working in AI development who wish to integrate their knowledge into product management and transition to a more business-centric role. Although some chapters in the book have a technical focus, the technical content is designed to be beginner-friendly and accessible to all readers.
Amazon Verified review Amazon
Tenacious1976 Jul 02, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Steven Fernandes May 12, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is an all-encompassing guide to integrating artificial intelligence (AI) into product development. The book, divided into three sections, successfully introduces AI concepts, outlines the creation of AI-native products, and guides the integration of AI into existing systems. The author's emphasis on real-world examples, ethical considerations, and the practical aspects of AI product development set this book apart. It caters to a range of audiences, from beginners to experienced professionals, offering insightful, easy-to-understand content. The book's ability to keep pace with the rapidly evolving AI and Machine Learning field is commendable, making it a must-read for anyone interested in leveraging AI in their products or services.
Amazon Verified review Amazon
Steve LaChance Mar 13, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you ever plan to be part of a successful product lifecycle, read The AI Product Manager's Handbook. Irene's book is timely, accessible, and invaluable. The author's expertise in this space and insight into the growing skills gap that product managers face is unique.This book delivers a practical handbook for business and technical professionals who want to become AI product managers, team leaders, or entrepreneurs.My marketing mind had to work a little harder on the chapters that contain more technical information, but all of the content is accessible to anyone with a basic understanding of computer science. If you're not sure if that's you, the first chapter will get you caught up on the main concepts and vocabulary.It's a handbook after all, not a novel, and should be used as such. I recommend that you keep this book on your desk where you can see it and refer to it often.You need to know the What, So What, and Now What of AI productization and AI product management - Read this book.
Amazon Verified review Amazon
Armando Mar 29, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides a comprehensive and practical guide for building successful AI products. It covers various aspects of AI product development, including infrastructure, model development, commercialization, customization, benchmarking, and industry trends. The book is suitable for both beginners and experienced product managers, as it offers a deep dive into AI technology while also providing practical tips for AI product development. Overall, this book can be a valuable resource for anyone interested in building AI products or incorporating AI features into their existing products.
Amazon Verified review Amazon
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