AI Product Manager's Handbook: The ultimate playbook to unlock AI product success with real-world insights and strategies by Irene Bratsis
English | November 29, 2024 | ISBN: 1835882854 | 484 pages | EPUB | 8.94 Mb
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.
Key FeaturesGain 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.Purchase of the print or Kindle book includes a free PDF eBook.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 learnPlan your AI PM roadmap and navigate your career with clarity and confidenceGain a foundational understanding of AI/ML capabilitiesAlign your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk managementIdentify pitfalls and green flags for optimal commercializationSeparate hype from reality and identify quick wins for AI enablement and GenAIUnderstand how to develop and manage both native and evolving AI productsBenchmark product success from a holistic perspectiveWho 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.
Table of ContentsUnderstanding the Infrastructure and Tools for Building AI ProductsModel Development and Maintenance for AI ProductsDeep Learning Deep DiveCommercializing AI ProductsAI Transformation and Its Impact on Product ManagementUnderstanding the AI-Native ProductProductizing the ML ServiceCustomization for Verticals, Customers, and Peer GroupsProduct Design for the AI-Native Product(N.B. Please use the Read Sample option to see further chapters)
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ractical applications and case studies with a section on use cases across various industries, including healthcare, finance, transportation, and retail.
