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The AI Optimization Playbook

You're reading from   The AI Optimization Playbook Drive business success with proven AI strategies, best practices, and responsible innovation

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Product type Paperback
Published in Nov 2025
Publisher Packt
ISBN-13 9781806115112
Length 382 pages
Edition 1st Edition
Languages
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Concepts
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Authors (4):
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Dr. Chun Schiros Dr. Chun Schiros
Author Profile Icon Dr. Chun Schiros
Dr. Chun Schiros
LinkedIn
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.
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See other products by Dr. Chun Schiros
Dr. Usha Jagannathan Dr. Usha Jagannathan
Author Profile Icon Dr. Usha Jagannathan
Dr. Usha Jagannathan
LinkedIn
Dr. Usha Jagannathan is a leading voice in Responsible AI and serves as the Director of AI Products at a global standards body. She specializes in accelerating AI productization, taking solutions from PoC to scalable, trustworthy enterprise systems. She holds a Ph.D. in Technology and E-learning with advanced training in AI for Business and Ethics. With 20+ years of product engineering and IT experience across McKinsey, Marsh, ASU, and Purdue Global, she brings expertise in data/AI engineering, governance, and risk management. Her thought leadership has earned her multiple global awards in Responsible AI and data science. She is passionate about mentoring, having supported over 1,000 young professionals into engineering and product roles.
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Supreet Kaur Supreet Kaur
Author Profile Icon Supreet Kaur
Supreet Kaur
LinkedIn
Supreet Kaur is a senior AI cloud solutions architect at Microsoft, enabling financial institutions to scale generative AI solutions from proof of concept to production while evangelizing the latest advancements in AI. Previously at Morgan Stanley, she spearheaded the development of a large-scale machine learning-based personalization engine and earned a patent for an innovative evaluation strategy. A recognized thought leader, Supreet has delivered talks at 50+ global events, authored over 30 thought leadership articles, been named a LinkedIn Top Voice for AI content, and featured in more than 10 media outlets.
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See other products by Supreet Kaur
Rajdeep Arora Rajdeep Arora
Author Profile Icon Rajdeep Arora
Rajdeep Arora
LinkedIn
Rajdeep Arora is a principal data scientist and machine learning architect at a Fortune 1 company, where he drives innovation in personalization and recommendation systems that shape the online customer journey. With experience across startups, consulting, and Fortune 100 companies, he has led machine learning initiatives in knowledge graphs, supply chain optimization, recommendation systems, causal inference, and generative AI, all with a focus on creating human-centered digital experiences. His contributions to the field include patents, technical publications, and interviews on the intersection of AI and personalization. His work reflects a passion for scalable, business-driven solutions that transform how people experience technology.
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Toc

Table of Contents (25) Chapters Close

Preface 1. Part 1: Laying the Groundwork for AI Success
2. Understanding the Perils of AI Products FREE CHAPTER 3. Building the Enterprise AI Strategy 4. Part 2:Aligning Projects with Business Impact
5. Selecting High-Impact AI Projects 6. Beyond the Build: Gaining Leadership Support for AI Initiatives 7. Building an AI Proof of Concept and Measuring Your Solution 8. Part 3: Deploying and Proving ML Value
9. Beyond Accuracy: A Guide to Defining Metrics for Adoption 10. From Model to Market: Operationalizing ML Systems 11. From Metrics to Measurement: Experimentation and Causal Inference 12. Part 4: Emerging Topics: Generative AI and AI Agents
13. Generative AI in the Enterprise: Unlocking New Opportunities 14. Understanding GenAI Operations 15. AI Agents Explained 16. Part 5: Responsible AI and Governance
17. Introduction to Responsible AI 18. Implementing RAI Frameworks, Metrics, and Best Practices 19. Building Trustworthy LLMs and Generative AI 20. Regulatory and Legal Frameworks for Responsible AI 21. The Future of AI Optimization: Trends, Vision, and Responsible Implementation 22. Unlock Your Exclusive Benefits
23. Index
24. Other Books You May Enjoy

Index

Symbols

16-bit floating-point (FP16) precision 194

32-bit floating-point (FP32) precision 194

A

A/B test

designing 161

running 161

A/B testing 160

fundamentals 160

interpreting 162-164

multi-arm bandit approaches, for optimization 164-166

accountability 308

framework, building 310

advanced GenAI, risks

adversarial AI risks 309

capability risks 309

enterprise risks 308

regulatory and governance risks 309

Aether Committee 277

African American Vernacular English (AAVE) 288

Agent2Agent (A2A)

collaboration and interoperability 232

key components 232

agent-based architecture

client data agent 235

orchestrator agent 235

reasoning agent 235

trade data agent 235

use case 236

agentic AI implementation

best practices 232-234

agentic frameworks 226

selecting 227

agent observability 227

best practices 229

key aspects 227, 228

agents 226

Agentverse...

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Authors (4)

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Profile icon Dr. Chun Schiros
Dr. Chun Schiros
LinkedIn icon
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.
Read more
See other products by Dr. Chun Schiros
Profile icon Dr. Usha Jagannathan
Dr. Usha Jagannathan
LinkedIn icon
Dr. Usha Jagannathan is a leading voice in Responsible AI and serves as the Director of AI Products at a global standards body. She specializes in accelerating AI productization, taking solutions from PoC to scalable, trustworthy enterprise systems. She holds a Ph.D. in Technology and E-learning with advanced training in AI for Business and Ethics. With 20+ years of product engineering and IT experience across McKinsey, Marsh, ASU, and Purdue Global, she brings expertise in data/AI engineering, governance, and risk management. Her thought leadership has earned her multiple global awards in Responsible AI and data science. She is passionate about mentoring, having supported over 1,000 young professionals into engineering and product roles.
Read more
See other products by Dr. Usha Jagannathan
Profile icon Supreet Kaur
Supreet Kaur
LinkedIn icon
Supreet Kaur is a senior AI cloud solutions architect at Microsoft, enabling financial institutions to scale generative AI solutions from proof of concept to production while evangelizing the latest advancements in AI. Previously at Morgan Stanley, she spearheaded the development of a large-scale machine learning-based personalization engine and earned a patent for an innovative evaluation strategy. A recognized thought leader, Supreet has delivered talks at 50+ global events, authored over 30 thought leadership articles, been named a LinkedIn Top Voice for AI content, and featured in more than 10 media outlets.
Read more
See other products by Supreet Kaur
Profile icon Rajdeep Arora
Rajdeep Arora
LinkedIn icon
Rajdeep Arora is a principal data scientist and machine learning architect at a Fortune 1 company, where he drives innovation in personalization and recommendation systems that shape the online customer journey. With experience across startups, consulting, and Fortune 100 companies, he has led machine learning initiatives in knowledge graphs, supply chain optimization, recommendation systems, causal inference, and generative AI, all with a focus on creating human-centered digital experiences. His contributions to the field include patents, technical publications, and interviews on the intersection of AI and personalization. His work reflects a passion for scalable, business-driven solutions that transform how people experience technology.
Read more
See other products by Rajdeep Arora
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