Key points are not available for this paper at this time.
Managing projects involves intricate procedures that demand meticulous planning, execution, and oversight. Conventional methods frequently face difficulties when handling extensive datasets, unexpected issues, and repetitive tasks. Artificial intelligence (AI) provides a revolutionary approach that can enhance multiple facets of project management. This paper investigates the current applications of AI within the field. It reviews existing research on AI methodologies employed for tasks such as resource allocation, risk assessment, scheduling, cost estimation, and communication. The paper further examines the process of integrating AI into project management, covering aspects such as data gathering, model selection, and training. It also addresses possible challenges and limitations, presenting numerical evidence of AI's effectiveness in improving project results. The paper concludes with a discussion on future prospects of AI in project management and its potential influence on the discipline.
Parekh et al. (2024) studied this question.