Incorporating AI into construction management: Enhancing efficiency and cost savings

Ruchit Parekh 1, * and Olivia Mitchell 2

1 Department of Engineering Management, Hofstra University, New York, USA.
2 Department of Civil Engineering, University of California, Berkeley, USA.
 
Review
International Journal of Science and Research Archive, 2024, 13(01), 1049–1058.
Article DOI: 10.30574/ijsra.2024.13.1.1776
Publication history: 
Received on 11 August 2024; revised on 17 September 2024; accepted on 20 September 2024
 
Abstract: 
The construction sector encounters obstacles such as intricate project requirements, delays, and communication barriers. Utilizing artificial intelligence—especially through techniques like data analysis, predictive analytics, and machine learning—can mitigate these issues by refining project planning, scheduling, and risk management. This paper presents methods for integrating AI, such as data acquisition, machine learning techniques, and cloud technology. It includes case studies that demonstrate successful AI applications, revealing advantages like heightened efficiency, reduced costs, and enhanced safety. Nonetheless, concerns like data security and employee acceptance need to be addressed. The abstract wraps up with a look at future developments and advocates for the construction industry to adopt AI for better project results.
 
Keywords: 
AI; Construction Management; Project Efficiency; Cost Savings
 
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Copyright information: 

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0