AI Product Manager's Handbook
eBook - ePub

AI Product Manager's Handbook

The ultimate playbook to unlock AI product success with real-world insights and strategies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI Product Manager's Handbook

The ultimate playbook to unlock AI product success with real-world insights and strategies

About this book

Blending strategic frameworks, real-world case studies, and cutting-edge AI insights, this guide equips product managers with the tools to navigate challenges, drive innovation, and build scalable, high-impact AI products. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free

Key Features

  • Gain insights into AI product discovery, market fit, and execution through structured frameworks.
  • Learn to translate complex AI capabilities into real-world solutions that drive value.
  • Understand ethical AI, bias mitigation, and compliance to build responsible AI products.

Book Description

AI is rapidly transforming product management, presenting new challenges and business opportunities. As AI-driven solutions become more complex, product managers must bridge the gap between technological capabilities and business needs. This book provides a detailed roadmap for successfully building and maintaining AI-driven products, serving as an indispensable companion on your journey to becoming an effective AI product manager. In this second edition, you'll find fresh insights into generative AI, and responsible AI practices with the most relevant tools for building AI-powered products. Authored by a leading AI product expert with years of hands-on experience in developing and managing AI solutions, this guide translates complex AI concepts into actionable strategies. Whether you're an aspiring AI PM or an experienced professional, this book offers a structured approach to defining AI product vision, leveraging data effectively, and aligning AI with business objectives. With new case studies and refined frameworks, this edition provides deeper insights into ethical AI, cross-functional collaboration, and deployment challenges. By the end of this book, you'll be equipped with the knowledge to drive AI product success with key techniques for identifying AI opportunities and managing risks in a rapidly evolving landscape.

What you will learn

  • Plan your AI PM roadmap and navigate your career with clarity and confidence
  • Gain a foundational understanding of AI/ML capabilities
  • Align your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk management
  • Identify pitfalls and green flags for optimal commercialization
  • Separate hype from reality and identify quick wins for AI enablement and GenAI
  • Understand how to develop and manage both native and evolving AI products
  • Benchmark product success from a holistic perspective

Who this book is for

This book is tailored for aspiring and experienced product managers, AI strategists, and business leaders aiming to integrate AI into their products. A foundational understanding of AI is expected and reinforced throughout the book. It is particularly valuable for professionals looking to bridge AI and business strategy, optimize AI/ML applications, and drive data-informed decision-making. Engineers, designers, and executives seeking to align AI capabilities with user needs and market demands will also benefit from the insights and real-world case studies on building scalable AI products.

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Information

Year
2024
eBook ISBN
9781835882856
Subtopic
R&D

Table of contents

  1. Contributors
  2. Preface
  3. Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
  4. Understanding the Infrastructure and Tools for Building AI Products
  5. Model Development and Maintenance for AI Products
  6. Deep Learning Deep Dive
  7. Commercializing AI Products
  8. AI Transformation and Its Impact on Product Management
  9. Building an AI-Native Product
  10. Understanding the AI-Native Product
  11. Productizing the ML Service
  12. Customization for Verticals, Customers, and Peer Groups
  13. Product Design for the AI-Native Product
  14. Benchmarking Performance, Growth Hacking, and Cost
  15. Managing the AI-Native Product
  16. Integrating AI into Existing Traditional Software Products
  17. The Rising Tide of AI
  18. Trends and Insights Across Industry
  19. Evolving Products into AI Products
  20. The Role of AI Product Design
  21. Managing the Evolving AI Product
  22. Managing the AI PM Career
  23. Starting a Career as an AI PM
  24. What Does It Mean to Be a Good AI PM?
  25. Maturing and Growing as an AI PM
  26. Unlock Your Book’s Exclusive Benefits
  27. Index

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Yes, you can access AI Product Manager's Handbook by Irene Bratsis in PDF and/or ePUB format, as well as other popular books in Computer Science & R&D. We have over 1.5 million books available in our catalogue for you to explore.