
Beyond Intelligent Systems: Navigating the Power of the Agentic Artificial Intelligence for Driving Innovation: Proceedings of the International …
Author(s): Victor Tiberius (Editor), Alhamzah Malik Alnoor (Editor), Marco Valeri (Editor), Khalid Dahleez (Editor), Mohammed Salah Alazzawi (Editor)
- Publisher: Springer
- Publication Date: April 28, 2026
- Language: English
- Print length: 883 pages
- ISBN-10: 3032158052
- ISBN-13: 9783032158055
Book Description
This book maps the latest research on Agentic AI as a catalyst for innovation across sectors healthcare, energy, education, finance, public services, and more. Through comparative case studies and diverse analytical approaches, the papers show how autonomous, goal-directed AI systems reconfigure value creation, decision processes, and business models. This book is designed for scholars and postgraduate students, offering clear research agendas, replicable methods, and theory-led frameworks to investigate capability building, governance, and responsible scaling of Agentic AI. It also identifies high-potential frontiers human-in-the-loop innovation, data governance for autonomy, sustainable finance models, and impact evaluation to guide rigorous, opportunity-driven future research
Editorial Reviews
From the Back Cover
This book maps the latest research on Agentic AI as a catalyst for innovation across sectors healthcare, energy, education, finance, public services, and more. Through comparative case studies and diverse analytical approaches, the papers show how autonomous, goal-directed AI systems reconfigure value creation, decision processes, and business models. This book is designed for scholars and postgraduate students, offering clear research agendas, replicable methods, and theory-led frameworks to investigate capability building, governance, and responsible scaling of Agentic AI. It also identifies high-potential frontiers human-in-the-loop innovation, data governance for autonomy, sustainable finance models, and impact evaluation to guide rigorous, opportunity-driven future research
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