The AI Optimization Playbook

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

ISBN 10: 1806115115 / ISBN 13: 9781806115112

Verlag: Packt Publishing Limited, GB, 2025

Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild AI strategies that align with business goals and maximize ROIImplement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AILearn from real-world case studies spanning industries and AI maturity levelsBook DescriptionAI 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 requiredWhat you will learnDesign business-aligned AI strategiesSelect and prioritize AI projects with the highest potential ROIDevelop reliable prototypes and scale them using MLOps pipelinesIntegrate explainability, fairness, and compliance into AI systemsApply LLMOps practices to deploy and maintain generative AI modelsBuild AI agents that support autonomous decision-making at scaleNavigate evolving AI regulations with actionable compliance frameworksBuild a future-ready, ethically grounded AI organizationWho this book is forThis book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development. Bestandsnummer des Verkäufers LU-9781806115112

Inhaltsangabe:

Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scale

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build AI strategies that align with business goals and maximize ROI
• Implement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AI
• Learn from real-world case studies spanning industries and AI maturity levels

Book Description

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

Who this book is for

This book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.

Table of Contents

1. Understanding the Perils of AI Products
2. Building the Enterprise AI Strategy
3. Selecting High-Impact AI Projects
4. Beyond the Build: Gaining Leadership Support for AI Initiatives
5. Building an AI Proof of Concept and Measuring Your Solution
6. Beyond Accuracy: A Guide to Defining Metrics for Adoption
7. From Model to Market: Operationalizing ML Systems
8. From Metrics to Measurement: Experimentation and Causal Inference
9. Generative AI in the Enterprise: Unlocking New Opportunities
10. Understanding GenAI Operations
11. AI Agents Explained
12. Introduction to Responsible AI
13. Implementing RAI Frameworks, Metrics, and Best Practices
14. Building Trustworthy LLMs and Generative AI
15. Regulatory and Legal Frameworks for Responsible AI
16. The Future of AI Optimization: Trends, Vision, and Responsible Implementation

Über die Autorin bzw. den Autor: Dr. Chun Schiros is an award-winning technology and AI thought leader and field CTO at a leading cloud company, advising boards and executives on cloud, data, and AI transformation. With decades of experience in financial services, healthcare, and technology, she has built a career bridging business vision and technology execution. She helps organizations maximize AI value through aligned data strategy and scalable models. Her leadership has earned industry recognition for innovation in data and analytics. She translates complex AI and data strategies into business impact and guides organizations to embed AI responsibly at scale. She holds a Ph.D. in electrical engineering with advanced training in probability, statistics, and data science.

Bibliografische Details

Titel: The AI Optimization Playbook
Verlag: Packt Publishing Limited, GB
Erscheinungsdatum: 2025
Einband: Paperback
Zustand: New