
The AI Product Playbook
Strategies, Skills, and Frameworks for the AI-Driven Product Manager
- 339 pages
- English
- PDF
- Available on iOS & Android
The AI Product Playbook
Strategies, Skills, and Frameworks for the AI-Driven Product Manager
About this book
A comprehensive guide for aspiring and current AI product managers
The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between artificial intelligence theory and real-world product management, offering actionable learnings tailored to non-technical professionals.
Drawing from extensive industry experience, Dr. Nika and Granados introduce the three essential AI product manager roles: AI Experiences PM, AI Builder PM, and AI-Enhanced PM. They offer guidance on developing skills crucial for each role and navigating common challenges in the workplace. Readers will also find valuable strategies for career growth, lifelong learning, and crafting a distinctive AI portfolio.
Inside the book:
- Practical frameworks for discovering AI opportunities and aligning AI capabilities with business goals
- A deep technical dive with clear explanations of foundational AI and machine learning concepts, including supervised learning, unsupervised learning, reinforcement learning, and generative AI
- Guidelines for ethical AI implementation, addressing bias, fairness, and compliance with AI regulations
- Strategies for effective collaboration with cross-functional teams and enhancing productivity through AI
- Interactive exercises, action plans, checklists, templates, and quizzes designed to reinforce learning and build real-world skills
Essential reading for aspiring and experienced product managers alike, The AI Product Playbook provides a roadmap to mastering AI-driven product management and advancing your career in the dynamic field of artificial intelligence.
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Information
Table of contents
- Cover
- Title Page
- Copyright Page
- About the Authors
- Acknowledgments
- Contents at a Glance
- Contents
- Introduction
- Part I Foundational AI/ML Concepts
- Part II AI PM Specializations
- Part III Connecting the Dots Between AI/ML Knowledge and PM Craft
- Index
- EULA