Improvement on Project Risk Management

Abstract

Project risk management is a critical component in ensuring project success, especially in complex and high-stakes 
environments. Traditional risk management strategies often fall short due to limited foresight, poor stakeholder 
engagement, or outdated risk assessment models. This paper explores improvements in project risk management 
practices, emphasizing the integration of data analytics, AI tools, stakeholder involvement, and agile methodologies. 
By adopting these enhanced approaches, organizations can better anticipate, mitigate, and respond to risks, thereby 
improving project outcomes and resource optimization.