ISSN: 2168-9717

Journal of Architectural Engineering Technology
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  • Perspective   
  • J Archit Eng Tech,
  • DOI: 10.4172/2168-9717.1000414

Artificial Intelligence in Construction: Transforming the Industry

Luan Wang*
*Corresponding Author : Luan Wang, Department of Civil and Environmental Engineering, Yonsei University, Seoul, Korea, Email: luan_w01@gmail.com

Received Date: Nov 01, 2024 / Accepted Date: Nov 30, 2024 / Published Date: Nov 30, 2024

Abstract

Artificial Intelligence (AI) in construction has emerged as a transformative force, enhancing various aspects of the industry by improving efficiency, reducing costs, and increasing safety. AI technologies, such as machine learning (ML), computer vision, robotics, and natural language processing (NLP), are revolutionizing the construction sector by enabling smarter project management, predictive analytics, and real-time decision-making. AI-driven tools can automate repetitive tasks, optimize scheduling, and improve resource allocation, making construction projects more cost-effective and streamlined. Moreover, AI applications in construction safety are improving risk assessment, detecting potential hazards, and enhancing worker safety through real-time monitoring and predictive analytics. As AI continues to evolve, its potential for reshaping construction processes grows, including innovations in robotics for autonomous construction, smart building systems, and digital twins. However, challenges such as data privacy, high implementation costs, and the need for skilled workforce remain. This paper explores the current applications, benefits, and challenges of AI in construction, highlighting key developments and future opportunities in the sector. Artificial Intelligence (AI) is progressively transforming industries worldwide, and the construction sector is no exception. In recent years, AI technologies have begun to reshape construction processes by enhancing efficiency, reducing costs, and improving safety standards. From design to project management and construction operations, AI applications such as machine learning, natural language processing, and robotics are revolutionizing traditional practices. AI-driven tools can analyze vast amounts of data, optimize schedules, predict maintenance needs, and ensure quality control with unprecedented accuracy. Robotics and autonomous machinery are increasingly integrated into construction sites, handling labor-intensive tasks and performing complex operations. Furthermore, AI is driving the advancement of Building Information Modeling (BIM), smart buildings, and construction site monitoring systems. This paper explores the transformative role of AI in the construction industry, identifying current applications, challenges, and future prospects. It aims to provide a comprehensive understanding of how AI is redefining construction workflows, promoting innovation, and facilitating the development of smarter, more sustainable infrastructures.

Citation: Luan W (2024) Artificial Intelligence in Construction: Transforming the Industry. J Archit Eng Tech 13: 414. Doi: 10.4172/2168-9717.1000414

Copyright: © 2024 Luan W. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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