The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation

Dr. Chun Schiros, Supreet Kaur, Rajdeep Arora, Dr. Usha Jagannathan

AI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you’re a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed. Through actionable guidance and real-world examples, you’ll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You’ll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle. But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business–technology divide so you can confidently lead AI transformation across the enterprise. *Email sign-up and proof of purchase required

What you will learn

Design business-aligned AI strategies

Select and prioritize AI projects with the highest potential ROI

Develop reliable prototypes and scale them using MLOps pipelines

Integrate explainability, fairness, and compliance into AI systems

Apply LLMOps practices to deploy and maintain generative AI models

Build AI agents that support autonomous decision-making at scale

Navigate evolving AI regulations with actionable compliance frameworks

Build a future-ready, ethically grounded AI organization