The AI Optimization Playbook
Drive business success with proven AI strategies, best practices, and responsible innovation
Created by Dr. Chun Schiros, Dr. Usha Jagannathan, Supreet Kaur and 1 more
Gain practical guidance to bridge the gap between AI technology and business value. Explore proven strategies for optimizing the AI lifecycle, from initial strategy to responsible deployment, using real-world frameworks and case studies.
Packt | Nov 2025 | 382 min
What You Will Learn
You will work through real-world examples and actionable frameworks that show how to design, evaluate, and scale AI projects. Each step focuses on connecting technical decisions with business objectives, helping you develop strategies that deliver both innovation and measurable results.
Key Features
- Align AI initiatives with business goals for measurable impact and ROI
- Implement scalable MLOps and LLMOps practices for reliable AI deployment
- Integrate responsible AI principles to ensure compliance and transparency
Target Audience
Ideal for technology and business leaders such as CTOs, CIOs, CDAOs, and AI managers who are familiar with enterprise systems and AI fundamentals. If you want to drive innovation, improve operational efficiency, and manage AI risk across your organization, this content is tailored for you.
