58 Data in AI Era : Data Governance, Metadata, and Lineage
From Data Warehouse to AI-Augmented Enterprise Data Governance, Metadata, and Lineage: Why Trust Becomes the Central Problem in AI-Era Data Systems Abstract Over the past decade, organizations have invested heavily in modernizing their data platforms. Data warehouses migrated to the cloud. ELT replaced traditional ETL. Data lakes evolved into lakehouses. Self-service analytics became a strategic objective. More recently, AI and Generative AI have accelerated expectations around data-driven decision making. Yet despite these technological advances, a common challenge continues to emerge across industries: Organizations have more data than ever before, but less confidence in the answers produced from it. The challenge is no longer data availability. The challenge is trust. When executives question dashboard numbers, when analysts spend more time validating data than analyzing it, or when AI systems generate insights that cannot be explained, the underlying issue is usually not tech...