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Building tomorrow = unleashing the p...

Re Cecconi, Fulvio.

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Building tomorrow = unleashing the potential of artificial intelligence in construction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building tomorrow/ by Fulvio Re Cecconi, Ania Khodabakhshian, Luca Rampini.
Reminder of title:	unleashing the potential of artificial intelligence in construction /
Author:	Re Cecconi, Fulvio.
other author:	Khodabakhshian, Ania.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	vi, 122 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Construction industry - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-031-77197-2
ISBN:	9783031771972

Building tomorrow = unleashing 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

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

657021
Construction industry
--Data processing.

LC Class. No.: HD9715.A2

Dewey Class. No.: 338.47624

Building tomorrow = unleashing the potential of artificial intelligence in construction /
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