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Building tomorrowunleashing the potential of artificial intelligence in construction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Building tomorrowby Fulvio Re Cecconi, Ania Khodabakhshian, Luca Rampini.
其他題名:	unleashing the potential of artificial intelligence in construction /
作者:	Re Cecconi, Fulvio.
其他作者:	Khodabakhshian, Ania.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	vi, 122 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Construction industryData processing.
電子資源:	https://doi.org/10.1007/978-3-031-77197-2
ISBN:	9783031771972$q(electronic bk.)

Building tomorrowunleashing the potential of artificial intelligence in construction /
Re Cecconi, Fulvio.

Building tomorrowunleashing the potential of artificial intelligence in construction /[electronic resource] :by Fulvio Re Cecconi, Ania Khodabakhshian, Luca Rampini. - Cham :Springer Nature Switzerland :2025. - vi, 122 p. :ill., digital ;24 cm. - PoliMI SpringerBriefs,2282-2585. - PoliMI SpringerBriefs..

Is attention all we need -- Is the construction industry ready for AI -- AI for sustainability in the early project stages -- AI for Construction Risk Management -- Computer Vision for Asset and Facility Management -- Industry 5 0 in Construction Towards a More Human Centric and Ethical AI.

This book explores the transformative impact of artificial intelligence (AI) on the construction industry, examining its readiness for widespread integration and its potential to reshape various facets of the construction lifecycle. It introduces the concept of a readiness metric tailored to the construction sector, providing a comprehensive framework for assessing and improving AI adoption. The narrative then shifts to the early stages of projects, highlighting the role of AI in promoting sustainability. From leveraging open data for data-driven decisions to using machine learning for strategic decisions in retrofitting and decarbonising the built environment, the book investigates how AI can be a catalyst for positive change in the construction process. It then explores the integration of AI into project and risk management, unlocking the potential of advanced analytics and predictive modelling to streamline processes and improve decision-making, and the application of AI in asset and facility management, highlighting how intelligent technologies can optimise the lifecycle of built assets. Examining the responsible use of AI tools, the book addresses ethical challenges and outlines guidelines for the conscientious and equitable integration of AI into the construction ecosystem. Overall, it serves as a comprehensive guide for industry professionals, researchers, and policymakers, providing insights into the current landscape, the potential of AI, and the ethical considerations necessary for responsible implementation.

ISBN: 9783031771972$q(electronic bk.)

Standard No.: 10.1007/978-3-031-77197-2doiSubjects--Topical Terms:

295410
Construction industry
--Data processing.

LC Class. No.: HD9715.A2

Dewey Class. No.: 338.47624

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