Year: 2024
Type: article
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.
Authors: Ruchit Parekh, Olivia Mitchell
Institutions: Hofstra University, University of California, Berkeley
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4402891813