ANALYSING THE EFFECT OF ARTIFICIAL INTELLIGENCE ON PROJECT MANAGEMENT AND EMPLOYEE EFFICIENCY.

Abstract

Through the automation of mundane operations, improvement of decision-making, and enhancement of risk management procedures, (AI) is revolutionising the project management industry. Conventional approaches to project management are sometimes unable to keep up with the growing complexity of contemporary projects due to factors such as bigger teams, geographically dispersed workers, and more sophisticated deliverables. The emergence of AI as a potent tool has freed up project managers to concentrate on leadership and strategic decision-making by automating repetitive jobs, analysing massive datasets, and predicting project outcomes. Improving efficiency, reducing risks, and boosting decision-making are the three main ways that (AI) is affecting project management. The researchers start by looking at how AI streamlines and improves daily operations by automating scheduling, resource allocation, and reporting. This helps to decrease human error and increase efficiency. The article uses real-world case studies to show how businesses have utilised AI-driven technologies to shorten project times and make better use of resources. The second part of the paper explores the ways AI may help with risk assessment and reduction. (AI) with predictive analytics may identify hazards early in a project’s lifespan, giving managers valuable information they can use to mitigate such risks. The researchers look at real-world examples of AI in action, examining how sectors like construction and IT have utilised it to reduce risks and boost project results. The researchers conclude by looking at how AI may improve decision-making via the use of scenario simulations and real-time data analytics. Project managers may improve project performance using data-driven choices made possible by machine learning algorithms that analyse past project data to forecast outcomes.