Abstract

Metadata management is crucial for efficient data governance, resource discovery, and decision-making in today's data-driven landscape. Traditional metadata approaches often face challenges such as manual processes, siloed systems, and scalability issues. The integration of artificial intelligence (AI) technologies, including natural language processing (NLP), machine learning (ML), and generative AI, offers transformative solutions to these challenges. AI-driven metadata management automates tasks like metadata generation, enhances data discoverability, and ensures compliance with governance standards. This paper explores the evolution of metadata management, examines the impact of AI integration, and presents a framework for intelligent automation in metadata stewardship.