Why metadata provides the semantic control plane for modern, highly distributed data estates - enabling shared meaning and visibility across hundreds of applications, databases, and pipelines
How OpenMetadata creates a unified system of record for data assets, ownership, lineage, quality, and usage across cloud, on-prem, SaaS, and edge environments
What “active metadata” really means in practice - and how enriching it with business semantics and intent accelerates analytics, AI readiness, governance, and operational decision-making
How organizations are using OpenMetadata to break down silos, improve trust in data, and reduce friction between data engineering, analytics, and business teams
Why metadata has become foundational for AI, automation, and agentic systems, serving as the context-and-meaning layer that turns raw data into actionable intelligence for both people and AI

Today’s data landscape spans an enormous range of information systems - from the warehouse to the edge, SaaS platforms to on-prem environments. The average enterprise manages hundreds of applications and dozens of databases.

Making sense of all that data requires more than knowing what data exists, where it lives, who owns it, and how it’s used - it increasingly demands understanding what that data means in different business and analytical contexts.

So what holds it all together? Metadata - and the semantics layered on top of it.