AI Meets Strategy

A Product Manager's Guide to Leading Innovation
1. Auflage 2026
ISBN: 979-8-8688-2138-7
Verlag: Apress

Buch, Englisch, 664 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1013 g

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, 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

Who This Book is For

Aspiring to senior Product Managers

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Srivastava, Anshuman

Garg, Abhinav

Mishra, Anshuman

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Management
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines

Inhaltsverzeichnis

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.

Über Autor(innen)

Anshuman Srivastava is a product management and AI professional with over 12 years of experience. He focuses on turning complex technologies into practical solutions and has contributed to developing products that deliver measurable value. Passionate about AI and innovation, he works to help teams adopt smarter approaches to product development.

Anshuman Mishra is an entrepreneurial product and digital leader with nearly two decades of experience driving large-scale transformations and building enterprise B2C and B2B/SaaS products. An early adopter of product management in India, he has collaborated with global product leaders and data experts to scale organizations, unlock growth, and deliver exceptional experiences to millions of users.

Abhinav Garg brings 15 years of expertise in AI and data-driven solutions, spanning research, startups, and global e-commerce like Tokopedia. Combining technical depth with real-world impact, he turns advanced machine learning and computer vision innovations into practical, scalable solutions that solve complex business challenges.