An Empirical Study on the Role of Artificial Intelligence-Driven Predictive Analytics in Transforming Knowledge Management Practices in Large Enterprises

Abstract

This study investigates how Artificial Intelligence (AI)-driven predictive analytics has been revolutionizing knowledge management (KM) practices in large enterprises. While traditional KM systems focused on static knowledge repositories and information retrieval, predictive analytics enables proactive knowledge delivery, anticipatory decision-making, and dynamic organizational learning. This paper reviews pertinent literature, proposes a conceptual framework, and analyzes empirical evidence to assess the transformational impact of AI on KM processes. Key findings suggest that predictive analytics improves knowledge discovery, enhances collaboration, and fosters a more adaptive knowledge ecosystem within enterprises. Future research directions and practical implications for knowledge-intensive organizations are also discussed.