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Autonomic business transformationa guide to AI agents for practitioners and executives /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Autonomic business transformationby Christos Voudouris.
其他題名:	a guide to AI agents for practitioners and executives /
作者:	Voudouris, Christos.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xviii, 156 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Intelligent agents (Computer software)
電子資源:	https://doi.org/10.1007/978-3-032-01415-3
ISBN:	9783032014153$q(electronic bk.)

Autonomic business transformationa guide to AI agents for practitioners and executives /
Voudouris, Christos.

Autonomic business transformationa guide to AI agents for practitioners and executives /[electronic resource] :by Christos Voudouris. - Cham :Springer Nature Switzerland :2025. - xviii, 156 p. :ill. (some col.), digital ;24 cm. - Management for professionals,2192-810X. - Management for professionals..

Chapter 1: Digital Business to Autonomic Business -- Part I: Understanding the Autonomic Business -- Chapter 2: Maturity Levels and Evolution Path -- Chapter 3: Technology Foundations of Autonomic Business -- Chapter 4: Developing Multi Agent Systems for Autonomic Business -- Chapter 5: Autonomic Business in the Real World -- Part II: Autonomic Business Transformation -- Chapter 6: Evolving the Team -- Chapter 7: New Capabilities and Challenges -- Chapter 8: Developing an Autonomic Strategy and Business Architecture -- Chapter 9: Instituting Control and Oversight -- Part III: The Future of Autonomic Business -- Chapter 10: Agentic Ecosystems -- Chapter 11: Robotics Revolution -- Chapter 12: Epilogue.

This book provides the essential tools to make the transition from digital business to autonomic business. A key defining feature of the autonomic business model is the emergence of AI agents as the primary drivers of automation within organizations, enabling systems to act autonomously, adaptively, and intelligently. As this model gains traction, practitioners and executives must understand both the opportunities and challenges that agentic AI presents to their enterprises. With the rapid pace of technology, it is becoming increasingly difficult to interpret what AI means in a business context and anticipate the unprecedented changes this AI wave will bring. This book offers insights into that future and outlines the steps organizations can take today to embark on their AI transformation journey. Drawing on real-world examples, the book examines the historical and theoretical foundations of AI agents and autonomic business, explores key aspects of an autonomic transformation, and the future of autonomic business. It appeals to a broad audience across business and technology sectors, including executive professionals, consultants, and students.

ISBN: 9783032014153$q(electronic bk.)

Standard No.: 10.1007/978-3-032-01415-3doiSubjects--Topical Terms:

200777
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Autonomic business transformationa guide to AI agents for practitioners and executives /
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505 0 $a Chapter 1: Digital Business to Autonomic Business -- Part I: Understanding the Autonomic Business -- Chapter 2: Maturity Levels and Evolution Path -- Chapter 3: Technology Foundations of Autonomic Business -- Chapter 4: Developing Multi Agent Systems for Autonomic Business -- Chapter 5: Autonomic Business in the Real World -- Part II: Autonomic Business Transformation -- Chapter 6: Evolving the Team -- Chapter 7: New Capabilities and Challenges -- Chapter 8: Developing an Autonomic Strategy and Business Architecture -- Chapter 9: Instituting Control and Oversight -- Part III: The Future of Autonomic Business -- Chapter 10: Agentic Ecosystems -- Chapter 11: Robotics Revolution -- Chapter 12: Epilogue.
520 $a This book provides the essential tools to make the transition from digital business to autonomic business. A key defining feature of the autonomic business model is the emergence of AI agents as the primary drivers of automation within organizations, enabling systems to act autonomously, adaptively, and intelligently. As this model gains traction, practitioners and executives must understand both the opportunities and challenges that agentic AI presents to their enterprises. With the rapid pace of technology, it is becoming increasingly difficult to interpret what AI means in a business context and anticipate the unprecedented changes this AI wave will bring. This book offers insights into that future and outlines the steps organizations can take today to embark on their AI transformation journey. Drawing on real-world examples, the book examines the historical and theoretical foundations of AI agents and autonomic business, explores key aspects of an autonomic transformation, and the future of autonomic business. It appeals to a broad audience across business and technology sectors, including executive professionals, consultants, and students.
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