AI Meets Strategy : A Product Manager’s Guide to Leading Innovation / by Anshuman Srivastava, Abhinav Garg, Anshuman Mishra.

Format:

Book

Author/Creator:

Srivastava, Anshuman.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Artificial intelligence--Industrial applications.

Artificial intelligence.

Technological innovations--Management.

Technological innovations.

Leadership.

Physical Description:

1 online resource (454 pages)

Edition:

1st ed. 2026.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2026.

Summary:

Explore how Artificial Intelligence (AI) is driving the evolution of product management through a unified approach to data. Written as a practical guide, this book equips modern product managers with the tools to harness AI and data to design, build, and scale innovative products. Through actionable frameworks and real-world examples, you'll learn to define impactful AI problem statements and evaluate financial ROI and feasibility. Beyond strategy, this book addresses data operating model challenges such as data quality, system integration, adoption barriers, ethics, and governance. You’ll be introduced to a practical framework for Trustworthy AI, one that combines sound data practices, ethical principles, and responsible governance with real-world product management tools. Whether you are at a startup experimenting with AI or leading transformation in a global enterprise, AI Meets Strategy is your roadmap to building AI-enabled products that people believe in. What You Will Learn Adopt an AI-first mindset, where AI is central to product strategy. Design sustainable systems that balance innovation with societal impact. Craft enterprise-wide AI strategies that align with business goals, governance standards, and ethical principles.

Contents:

Part 1. AI: Foundations and Strategy

Chapter 1. The AI Makeover: How Product Management is Evolving

Chapter 2. Foundations of AI: Understanding Key Concepts and Terminology

Chapter 3. Building a Truly AI-Powered Organization: Strategy, Integration, and Transformation

Section 2. Building the Data Platform for AI Success

Chapter 4. From Strategy to Execution: Building a Data Operating Model for AI-Ready Growth

Chapter 5. Mastering Data Quality: Techniques, and Best Practices for Product Managers

Section 3. Navigating the ML Landscape: Essential Knowledge for AI Product Leaders

Chapter 6. Introduction to Machine Learning for Teaching Systems

Chapter 7. From Prototype to Production: Scaling ML at Speed and Scale

Chapter 8. The Ethical Framework: Building Trust in AI Through Human Values

Section 4: AI in the Real World

Chapter 9. Designing AI-Powered Products

Chapter 10. Putting AI to Work: Case Studies in Applied Intelligence

Chapter 11. Executive Perspectives: Navigating AI, Strategy, and the Future.

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6882-139-4

OCLC:

1569918557