Data30 - Session 6: From Metadata to Meaning, RDF & Ontologies

​Join us to explore how Collate leverages RDF and ontologies to serve as the context layer for AI-driven data platforms. As organizations adopt AI and data agents, the challenge is no longer just access to data—but ensuring that data is understood, trusted, and connected.

​In this session, we'll show how Collate uses semantic technologies to transform raw metadata into a unified knowledge graph, capturing the meaning, relationships, and business context behind your data. This semantic foundation enables AI agents to move beyond surface-level answers and instead reason over your data with accuracy and context.

​You'll learn how ontologies define the structure and meaning of your data, while the semantic layer bridges technical systems and business concepts—creating a consistent, governed view that AI and users can rely on.

​Whether you're enabling AI copilots, improving data discovery, or strengthening governance, this session will highlight how Collate becomes the intelligence layer that connects your data to real-world understanding—powering more reliable insights and smarter decision-making.