Full Description
This book offers a unique blend of thought leadership and real‑world case studies, addressing critical challenges such as predictive maintenance, procurement optimization, and automated documentation. AI in Engineering Asset Management 2025 is a landmark volume that unites cutting‑edge research and practical applications of Artificial Intelligence (AI) in the management of engineering assets and data infrastructure. Developed by fellows, members, and associates of the International Society of Engineering Asset Management (ISEAM), and rigorously peer‑reviewed under the guidance of ISEAM fellows, this book reflects global expertise and scholarly rigor. Its chapters originate from the November 2025 International Symposium on AI in Engineering Asset Management 2025, jointly organized by ISEAM and the Asset Institute, which convened leading practitioners and researchers to explore how AI, particularly Generative AI, can transform asset decision‑making.
Readers gain insight into how AI technologies enhance efficiency, reduce lifecycle costs, and enable smarter, data‑driven strategies for asset management. With clear explanations and actionable frameworks, the content is accessible to both technical and non‑technical audiences. By showcasing the latest advances and forward‑looking perspectives, this book serves as an essential resource for professionals and researchers seeking to harness AI and GenAI to push the boundaries of engineering asset management.
