Optimizing Data Governance through AI-Driven Metadata Management: Enhancing Data Discovery and Utilization in Organizations

Abstract

In today's data-driven landscape, effective data governance is crucial for organizations seeking to optimize data utilization and ensure compliance with regulatory requirements. This paper explores the role of AI-driven metadata management in enhancing data governance. By leveraging artificial intelligence to automate metadata generation, classification, and management, organizations can significantly improve data discovery, accessibility, and usability. This study reviews current practices, identifies challenges, and proposes a framework for implementing AI-driven metadata management strategies to optimize data governance.