Overview
- Provides comprehensive exploration of AI agent types and their applications across multiple industries
- Includes in-depth analysis of cutting-edge tools like AutoGen, LangGraph and LlamaIndex Agent Frameworks
- Offers valuable insights through numerous case studies in banking, insurance, healthcare, and cybersecurity
Part of the book series: Progress in IS (PROIS)
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About this book
This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances.
The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits.
Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.
Keywords
Table of contents (12 chapters)
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Front Matter
Editors and Affiliations
About the editor
Ken Huang is a prolific author and respected expert on AI and Web3, with numerous published books spanning business and technical guides and cutting-edge research on these fields. As a Research Fellow and Co-Chair of the AI Safety Working Group at the Cloud Security Alliance, and as Co-Chair of the AI STR Working Group at the World Digital Technology Academy, he’s at the forefront of shaping AI governance and security standards. Ken also serves as CEO and Chief AI Officer (CAIO) of DistributedApps.ai, specializing in Generative AI-related training and consulting. His expertise is further showcased in his role as a core contributor to OWASP’s Top 10 Risks for LLM Applications and his active involvement in the NIST Generative AI Public Working Group. A globally sought-after speaker, Ken has presented at prestigious events including the Davos WEF, ACM, IEEE, CSA AI Summit, IEEE, ACM, Depository Trust & Clearing Corporation, and World Bank conferences. Ken is a member of the OpenAI Forum, where he works to advance its mission to foster collaboration and discussion among domain experts and students regarding the development and implications of AI.
Bibliographic Information
Book Title: Agentic AI
Book Subtitle: Theories and Practices
Editors: Ken Huang
Series Title: Progress in IS
DOI: https://doi.org/10.1007/978-3-031-90026-6
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Hardcover ISBN: 978-3-031-90025-9Published: 10 June 2025
Softcover ISBN: 978-3-031-90028-0Due: 24 June 2026
eBook ISBN: 978-3-031-90026-6Published: 09 June 2025
Series ISSN: 2196-8705
Series E-ISSN: 2196-8713
Edition Number: 1
Number of Pages: XXXVIII, 407
Number of Illustrations: 2 b/w illustrations, 46 illustrations in colour
Topics: IT in Business, Artificial Intelligence, Business IT Infrastructure, Big Data, Enterprise Architecture, Multiagent Systems