Industry Innovation in the Era of Artificial Intelligence - The Ai Compass

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.

Sommario

1. When Machines Gain Intelligence. 2. AI Revolution: "All That Is Solid Melts into Air". 3. Global Industry Transformations in the Age of Artificial Intelligence. 4. Riding the AI Wave to Unlock New Business Potential. 5. The Future of AI Unfolding.

Info autore

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Xiaomei Wang, Wang Xiaomei
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 02.04.2025
• EAN: 9781032832395
• ISBN: 978-1-0-3283239-5
• Pagine: 201
• Serie: CRC Press Women in AI Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; Artificial Intelligence, TECHNOLOGY & ENGINEERING / Automation, BUSINESS & ECONOMICS / Industrial Management, Research & development management, Industry & industrial studies, Automatic control engineering, Databases, COMPUTERS / Artificial Intelligence / General, Industry and industrial studies, Research and development management, Databases / Data management