Abstract

As organizations increasingly rely on vast volumes of structured and unstructured data, effective data governance becomes a top priority. Metadata—the data about data—plays a foundational role in ensuring transparency, compliance, accessibility, and quality within data ecosystems. However, traditional metadata management approaches often fall short in scalability, accuracy, and automation. This paper explores the transformative role of artificial intelligence (AI) in metadata management, focusing on how AI can automate metadata creation, enforce governance policies, and support regulatory compliance. By analyzing current tools, frameworks, and implementation strategies, we present a forward-looking vision of AI-driven metadata management as a cornerstone of modern data governance practices.