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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, John C. Havens

(ebook) (audiobook) (audiobook) Język publikacji: angielski
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, John C. Havens - okladka książki

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, John C. Havens - okladka książki

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, John C. Havens - audiobook MP3

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, John C. Havens - audiobook CD

Autorzy:
Dr. Chun Schiros, Supreet Kaur, Rajdeep Arora, Dr. Usha Jagannathan, John C. Havens
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
382
Dostępne formaty:
     PDF
     ePub
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.
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O autorach książki

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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