Application of Artificial Intelligence in Project Management

Project management is a complex process that requires careful planning, execution, and control. Traditional methods often struggle with large datasets, unforeseen challenges, and repetitive tasks. Artificial intelligence (AI) offers a transformative approach, enhancing various aspects of project management. This paper explores the current landscape of AI applications in project management. We review existing literature on AI techniques used for resource allocation, risk prediction, scheduling, cost estimation, and communication. Next, we delve into the methodology of implementing AI in project management, including data collection, model selection, and training. We then discuss potential challenges and limitations, followed by numerical results showcasing the effectiveness of AI in improving project outcomes. Finally, the paper concludes by outlining the future directions of AI in project management and its potential impact on the field.Project management is a complex process that requires careful planning, execution, and control. Traditional methods often struggle with large datasets, unforeseen challenges, and repetitive tasks. Artificial intelligence (AI) offers a transformative approach, enhancing various aspects of project management. This paper explores the current landscape of AI applications in project management. We review existing literature on AI techniques used for resource allocation, risk prediction, scheduling, cost estimation, and communication. Next, we delve into the methodology of implementing AI in project management, including data collection, model selection, and training. We then discuss potential challenges and limitations, followed by numerical results showcasing the effectiveness of AI in improving project outcomes. Finally, the paper concludes by outlining the future directions of AI in project management and its potential impact on the field.

کلیدواژه ها:

Artificial Intelligence ، Project Management ، Resource Allocation ، Risk Prediction ، Scheduling