Integration of AI and Machine Learning for Predictive Project Management

Abstract

Predictive project management is an emerging approach that utilizes artificial intelligence (AI) and machine learning (ML) to anticipate risks, delays, and cost overruns in construction projects. This study explores AI and ML techniques, including predictive analytics, time-series forecasting, and neural networks, to optimize construction workflows. It provides a comprehensive analysis of theoretical frameworks, practical applications, and challenges in integrating predictive models into construction management. By leveraging data-driven insights, AI and ML can transform traditional project management practices, enabling better resource allocation, scheduling, and risk mitigation.