Autonomic Business Transformation
Springer International Publishing (Verlag)
978-3-032-01414-6 (ISBN)
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.
Dr. Christos Voudouris is a technology executive with over 30 years of experience in telecommunications, information technology, and infrastructure. He has a distinguished record of leading large-scale digital transformations, evolving product portfolios, conducting research & development, and providing advisory services. His contributions to AI and business automation have earned prestigious awards from BCS, IET, INFORMS and others. A significant focus of his R&D work has been the application of AI to automate and optimise business processes. He is a contributor to the Handbook of Heuristics (2025, Springer) and the author of Service Chain Management (2008, Springer).
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.
| Erscheinungsdatum | 24.07.2025 |
|---|---|
| Reihe/Serie | Management for Professionals |
| Zusatzinfo | XVIII, 156 p. 56 illus., 54 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | AgentCities • Agentic AI • Agentic Ecosystems • Agentic UI/UX • AgentOps • Agent Toolkits • AgentVerse • AI agents • AI Control and Oversight • AI risks • AI Strategy & Governance • Artificial Intelligence • Autonomic Business • Autonomous Agents • Business Architecture • Business operating model • business process management • Deep learning • digital business • Digital Twins • Human Machine Symbiosis • Large Language Models • LLMOps • machine learning • Multi-agent Systems • neurosymbolic AI • Process Mining • Robotic Process Automation • Robotics • task mining |
| ISBN-10 | 3-032-01414-X / 303201414X |
| ISBN-13 | 978-3-032-01414-6 / 9783032014146 |
| Zustand | Neuware |
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