Big Data LDN 2026 · Stand K121

You've got the context. Now put it to work.

Thanks for stopping by. Here's what we showed you, and where to go next.

Mike Ferguson on what enterprise semantics actually requires. The independent paper from Intelligent Business Strategies on why AI stalls on data, and what a unified semantic layer, knowledge graph and governed context need to look like.

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Context. Ontology. Memory.

Context
Technical metadata, documents, policies and business definitions, connected so your teams and your agents understand how your data all fits together.
Ontology
Open formats, RDF and OWL. Open vocabularies, SNOMED and FIBO. Your meaning, in a format you can inspect, extend and take with you.
Memory
The organizational knowledge that usually lives in someone's head or a Slack thread, captured where your agents can use it.
Get those three right and you get AI that knows what it's doing.
Answers that are 7x more accurate, using fewer tokens.

Every vendor on that floor told you AI needs context.

Most of them want you to trust a black box.

We're the only ones built on open formats, open vocabularies and open source, so the context you build belongs to you.

Collate is the Agentic Data Platform behind OpenMetadata.

What we showed you at the stand

Conversational AI and lineage Ask in natural language, explore dependencies, check quality, trace any answer back to its source.
AI Studio Build and manage agents for documentation, quality, naming and semantic discovery.
Analytics and reporting Generate charts from governed queries, pin them to dashboards, share them automatically.
Data Marketplace Discover trusted data products and request access through governed workflows.

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