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

Author:   Dr. Chun Schiros ,  Supreet Kaur ,  Rajdeep Arora ,  Dr. Usha Jagannathan
Publisher:   Packt Publishing Limited
ISBN:  

9781806115112


Pages:   382
Publication Date:   28 November 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation


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Full Product Details

Author:   Dr. Chun Schiros ,  Supreet Kaur ,  Rajdeep Arora ,  Dr. Usha Jagannathan
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781806115112


ISBN 10:   1806115115
Pages:   382
Publication Date:   28 November 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Understanding the Perils of AI Products Building the Enterprise AI Strategy Selecting High-Impact AI Projects Beyond the Build: Gaining Leadership Support for AI Initiatives Building an AI Proof of Concept and Measuring Your Solution Beyond Accuracy: A Guide to Defining Metrics for Adoption From Model to Market: Operationalizing ML Systems From Metrics to Measurement: Experimentation and Causal Inference Generative AI in the Enterprise: Unlocking New Opportunities Understanding GenAI Operations AI Agents Explained Introduction to Responsible AI Implementing RAI Frameworks, Metrics, and Best Practices Building Trustworthy LLMs and Generative AI Regulatory and Legal Frameworks for Responsible AI The Future of AI Optimization: Trends, Vision, and Responsible Implementation

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Author Information

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. 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. 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. 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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