Utilising of AI/ML technology in project Controls will be done in 2 stages;
1. historical data for similar projects in a different discipline; collected from As-Built Model, including 4D and 5D data and the validated previous stored projects’ data.
2. Current project cost/time performance considering expected risks (EVM calculation with a risk factors algorithm), to predict real-time monitoring for time and cost at completion during the delivery stage.

The methodology of building ML application for any project will be the same as the following steps
1. Collect Date (depending on the project discipline, Business intelligence application to be used in data analysis)
2. Develop Multi-Objective Genetic Algorithm “MOGA” for CPM analysis and EVM calculation with Risk Factors
3. Train Model / Supervise learning (Neural Network to be considered)
4. Deploy Model / get the data back to Maintain and update the model

Project controls are crucial in construction management, particularly for large-scale projects, where numerous intricate tasks require precise coordination and monitoring. With the advent of Building Information Modelling (BIM), the construction industry has witnessed a significant shift in how projects are planned, executed, and controlled. Integrating time (the fourth dimension) into 3D BIM, commonly called 4D BIM, has opened new avenues for efficient project control, enabling real-time monitoring, advanced scheduling, and better risk management. This presentation examines the application of 4D BIM technology in project controls within the construction industry, leveraging two comprehensive case studies. The first case study presents a high-rise building project in Sydney, where 4D BIM was used to simulate construction sequences, optimise schedules, and identify potential conflicts. The second case focuses on a complex infrastructure project involving multiple stakeholders, where 4D BIM facilitated improved communication, collaboration, and decision-making. Through these case studies, the presentation underscores how 4D BIM can provide a comprehensive view of the project, enhance understanding of project sequences, and lead to more informed decision-making. The presentation concludes by discussing the prospects of 4D BIM in project controls and potential areas for further research and development.