THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN CONSTRUCTION PROJECT MANAGEMENT

Artificial Intelligence (AI) is transforming traditional project management (PM) by automating processes,enhancing decision-making, and improving overall project efficiency. This paper examines the integration of AI into PM, focusing on its impact on resource allocation, risk management, and stakeholder communication.Using five case studies across different industries, the research identifies key benefits, challenges, and future directions for AI in PM. Findings suggest that AI significantly improves project outcomes by automating routine tasks, enabling predictive analytics, and enhancing team collaboration.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-31
DOI
https://doi.org/10.5281/zenodo.14580737
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
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article

THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN CONSTRUCTION PROJECT MANAGEMENT

Zenodo (CERN European Organization for Nuclear Research)
Construction Project Management and Performance
article

THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN CONSTRUCTION PROJECT MANAGEMENT

article en

Abstract

Artificial Intelligence (AI) is transforming traditional project management (PM) by automating processes,enhancing decision-making, and improving overall project efficiency. This paper examines the integration of AI into PM, focusing on its impact on resource allocation, risk management, and stakeholder communication.Using five case studies across different industries, the research identifies key benefits, challenges, and future directions for AI in PM. Findings suggest that AI significantly improves project outcomes by automating routine tasks, enabling predictive analytics, and enhancing team collaboration.

Zenodo (CERN European Organization for Nuclear Research)
Kanazawa University (JP)
Openalex Percentile: Top 59%
Construction Project Management and Performance
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