國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Building tomorrow/ by 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:	Rampini, Luca.
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:	Facility Management. -
電子資源:	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:

671037
Facility Management.

LC Class. No.: HD9715.A2

Dewey Class. No.: 338.47624

Building tomorrow = unleashing the potential of artificial intelligence in construction /
LDR:02943nam a2200337 a 4500 001 1161274
003 DE-He213
005 20250109130742.0
006 m d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031771972 $q (electronic bk.)
020 $a 9783031771965 $q (paper)
024 7 $a 10.1007/978-3-031-77197-2 $2 doi
035 $a 978-3-031-77197-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HD9715.A2
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 338.47624 $2 23
090 $a HD9715.A2 $b R281 2025
100 1 $a Re Cecconi, Fulvio. $3 1488281
245 1 0 $a Building tomorrow $h [electronic resource] : $b unleashing the potential of artificial intelligence in construction / $c by Fulvio Re Cecconi, Ania Khodabakhshian, Luca Rampini.
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a vi, 122 p. : $b ill., digital ; $c 24 cm.
490 1 $a PoliMI SpringerBriefs, $x 2282-2585
505 0 $a 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.
520 $a 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.
650 2 4 $a Facility Management. $3 671037
650 2 4 $a Building Information Modeling. $3 1389800
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Construction Management. $3 671020
650 1 4 $a Data Engineering. $3 1226308
650 0 $a Artificial intelligence $x Engineering applications. $3 889372
650 0 $a Construction industry $x Data processing. $3 567336
700 1 $a Rampini, Luca. $3 1488283
700 1 $a Khodabakhshian, Ania. $3 1488282
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a PoliMI SpringerBriefs. $3 1227168
856 4 0 $u https://doi.org/10.1007/978-3-031-77197-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)