Part 6/14:
Vun emphasizes that metadata is no longer an afterthought. Proper tagging, data lineage, ownership, and governance are essential foundation stones for trustworthy AI and analytics. This metadata embedding must be integrated within data pipelines from the outset, enabling better discoverability, security, and compliance.
He advocates incorporating domain knowledge to understand industry-specific nuances—important for accurate modeling and decision-making. For example, retail or healthcare industries have unique metrics and regulations; capturing that knowledge enhances data relevance and usability.