東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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 /
LDR:02943nmm a2200337 a 4500 001 2409181
003 DE-He213
005 20250109130742.0
006 m d
007 cr nn 008maaau
008 260204s2025 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 3782235
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 : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
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 0 $a Construction industry $x Data processing. $3 657021
650 0 $a Artificial intelligence $x Engineering applications. $3 1567162
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Construction Management. $3 896611
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Building Information Modeling. $3 3598693
650 2 4 $a Facility Management. $3 891241
700 1 $a Khodabakhshian, Ania. $3 3782236
700 1 $a Rampini, Luca. $3 3782237
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a PoliMI SpringerBriefs. $3 3380612
856 4 0 $u https://doi.org/10.1007/978-3-031-77197-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)