This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential.
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Xiaomei Wang is Chairman of Global AI Inclusive Networks, where she champions the empowerment of future AI professionals. Her steadfast commitment to inclusivity and diversity embodies her vision for an equitable AI landscape. Leading this nonprofit organization, she merges extensive experience with a passion for cultivating a skilled AI community. As Founder and CEO of PathoAI, Xiaomei spearheads innovation in AI-driven diagnostics and pharmaceutical R&D, recently pioneering multimodal models that analyse complex medical data with remarkable accuracy, transforming healthcare outcomes.
With a distinguished 19-year career at IBM and credentials as a Certified Independent Director, Xiaomei stands as a prominent voice in the global AI dialogue. An accomplished author, her works include AI 3.0 and Understanding DB2.
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Hardcover. Zustand: new. Hardcover. This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. The book will spark fresh thinking and provide a driving force for global industrial innovation. Author Xiaomei Wang, Founder and CEO of PathoAI, former Global Leader of Big Data and Analytics at IBM, as well as General Manager of IBM Growth Markets Unit Big Data Centers, draws on over 20 years of experience in data analytics and AI to offer unique insights and a rich collection of compelling industry case studies.Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a road map for harnessing its potential. By offering a blend of theoretical insight and practical guidance, this book empowers readers to embrace AI as a catalyst for innovation and sustainable growth in their respective fields. This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032832395
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Hardcover. Zustand: new. Hardcover. This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. The book will spark fresh thinking and provide a driving force for global industrial innovation. Author Xiaomei Wang, Founder and CEO of PathoAI, former Global Leader of Big Data and Analytics at IBM, as well as General Manager of IBM Growth Markets Unit Big Data Centers, draws on over 20 years of experience in data analytics and AI to offer unique insights and a rich collection of compelling industry case studies.Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a road map for harnessing its potential. By offering a blend of theoretical insight and practical guidance, this book empowers readers to embrace AI as a catalyst for innovation and sustainable growth in their respective fields. This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors. Designed for business leaders, tech enthusiasts, and policymakers alike, this book is not just a manual for understanding AI, but a roadmap for harnessing its potential. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781032832395
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