Enterprise Architecture at the Crossroads with AI: Navigating the Future of Business Transformation. IT and Digital Transformation, #1
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- FormatePub
- ISBN8227850096
- EAN9798227850096
- Date de parution19/06/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurBig Dog Books, LLC
Résumé
Intersection of Enterprise Architecture and Artificial Intelligence explores the powerful synergy between Enterprise Architecture (EA) and Artificial Intelligence (AI), providing a comprehensive guide to understanding, implementing, and optimizing this integration. This book delves into how EA can serve as a strategic enabler for AI, driving innovation, efficiency, and strategic alignment within organizations.
Readers will learn about the core principles of EA and AI, practical techniques for seamless integration, and real-world case studies demonstrating successful implementations. Key topics include AI-driven decision-making, predictive analytics, process automation, and ethical considerations. The book also addresses future trends in EA and AI, offering insights into emerging technologies, the future AI economy, and strategies for preparing for upcoming challenges and opportunities.
Designed for business leaders, IT professionals, architects, and AI practitioners, this book equips readers with the knowledge and tools necessary to harness the transformative power of EA and AI, driving sustainable growth and success in the digital age.
Readers will learn about the core principles of EA and AI, practical techniques for seamless integration, and real-world case studies demonstrating successful implementations. Key topics include AI-driven decision-making, predictive analytics, process automation, and ethical considerations. The book also addresses future trends in EA and AI, offering insights into emerging technologies, the future AI economy, and strategies for preparing for upcoming challenges and opportunities.
Designed for business leaders, IT professionals, architects, and AI practitioners, this book equips readers with the knowledge and tools necessary to harness the transformative power of EA and AI, driving sustainable growth and success in the digital age.
Intersection of Enterprise Architecture and Artificial Intelligence explores the powerful synergy between Enterprise Architecture (EA) and Artificial Intelligence (AI), providing a comprehensive guide to understanding, implementing, and optimizing this integration. This book delves into how EA can serve as a strategic enabler for AI, driving innovation, efficiency, and strategic alignment within organizations.
Readers will learn about the core principles of EA and AI, practical techniques for seamless integration, and real-world case studies demonstrating successful implementations. Key topics include AI-driven decision-making, predictive analytics, process automation, and ethical considerations. The book also addresses future trends in EA and AI, offering insights into emerging technologies, the future AI economy, and strategies for preparing for upcoming challenges and opportunities.
Designed for business leaders, IT professionals, architects, and AI practitioners, this book equips readers with the knowledge and tools necessary to harness the transformative power of EA and AI, driving sustainable growth and success in the digital age.
Readers will learn about the core principles of EA and AI, practical techniques for seamless integration, and real-world case studies demonstrating successful implementations. Key topics include AI-driven decision-making, predictive analytics, process automation, and ethical considerations. The book also addresses future trends in EA and AI, offering insights into emerging technologies, the future AI economy, and strategies for preparing for upcoming challenges and opportunities.
Designed for business leaders, IT professionals, architects, and AI practitioners, this book equips readers with the knowledge and tools necessary to harness the transformative power of EA and AI, driving sustainable growth and success in the digital age.
