Advanced technologies implement such as data analytics and artificial intelligence to enhance decision-making processes in project management in civil engineering

Abstract

With the incorporation of artificial intelligence and data analytics, civil engineering project management is changing and offering chances to improve decisionmaking, resource allocation, and project results. This article examines how real-time data gathering, building information modeling (BIM), and predictive analytics driven by AI can transform project management in the field of civil engineering. It discusses the necessity of sophisticated project management tools to get beyond the drawbacks of conventional approaches, which frequently result in inefficiencies and project delays. More precise stakeholder communication, risk management, cost estimation, and project scheduling are made possible by the combination of AI and data analytics. This essay also emphasizes the difficulties and moral dilemmas that come with implementing AI, stressing how crucial it is to comprehend its possible drawbacks and hazards. Providing a framework for successfully incorporating AI into decisionmaking procedures, enhancing project efficiency, and lowering risks in intricate civil engineering projects is the ultimate objective.