Enhancing Decision-Making with Artificial Intelligence in Project Management

In an era of rapid innovation and complex business challenges, the integration of knowledge management (KM) and project management (PM) has emerged as a critical key driver of strategic success. Project management is a complex discipline that requires effective decision-making to ensure the successful completion of projects within scope, time, and budget constraints. Traditional decision-making methods often rely on human judgment, which can be subject to biases, inefficiencies, and limitations in data processing. The rapid advancement of Artificial Intelligence (AI) has introduced innovative solutions to enhance decision-making in project management by leveraging machine learning, predictive analytics, and intelligent automation. This paper explores how AI-driven technologies are transforming decision-making processes in project management by improving risk assessment, resource allocation, and project forecasting. AI-powered tools can analyze vast amounts of historical project data to identify patterns, predict potential bottlenecks, and recommend optimal strategies. Additionally, artificial intelligence enables real-time monitoring of project performance, providing project managers with data-driven insights that enhance their ability to make proactive and informed decisions. By integrating AI into project management workflows, organizations can reduce human errors, optimize productivity, and improve overall project success rates. Despite its numerous benefits, AI implementation in project management presents challenges such as data privacy concerns, reliance on high-quality datasets, and the need for organizational adaptation. This paper discusses these challenges and provides recommendations for overcoming them to maximize the benefits of AI-driven decision-making. By analyzing real-world case studies and industry applications, this paper highlights the potential of AI in revolutionizing project management and offers insights into future trends. The findings underscore the importance of AI adoption in modern project environments and emphasize the need for continuous learning and ethical AI deployment. Attendees will gain insights into practical approaches for incorporating KM into project management workflows and fostering a culture of continuous learning and improvement.