Data for AI: Access to Understanding

Your agent can reach every table in the lakehouse. It still doesn't know what "active user" means, which of your three revenue columns is the real one, or that two teams define churn two different ways.

That's the theme for our next Data for AI meetup: semantics. We're getting into ontologies, semantic layers, and the open standards taking shape around them (including OSI, the Open Semantic Interchange) that give agents a shared, machine-readable understanding of what your data actually is, not just where it lives.

Expect practitioner talks, not vendor pitches, including an end-to-end walkthrough of getting unstructured data agent-ready: from raw files through chunking and embeddings to a vector-native table your agents can actually query. Plus demos, lightning talks, Q&A, and the hallway track, with food and drinks on us.

Speaker lineup drops soon. Engineers from teams building semantic and agent systems in production are already on deck.

Built for data engineers, AI/ML engineers, and platform architects. Seats are capped, so grab your spot now.

Want to be on stage?

We're still building the lineup, and the best Data for AI talks have always come from this list. If you're running semantic layers or ontologies in production, teaching agents what your data means, or wrestling raw files into agent-ready context, we want to hear it. War stories and "here's what we got wrong" talks are especially welcome. Full talks (~20 min) and lightning talks (~5-10 min) both work.

Submit by September 11: https://forms.gle/CKnb5bhsTqTY65yg6

Want to help us run the event?

Data for AI is community-run, and a couple of extra hands make every meetup better. If you can help with check-in, setup, AV, or photos and video on the night, we'd love to have you: https://forms.gle/dMLUXp9Qjy6Lx5MV8.

Sponsors

This event is made possible by our sponsors, who keep the Data for AI community running.

Datastrato is the company behind Apache Gravitino, the open-source metadata lake that puts tables, models, and files under a single catalog, lineage graph, and access layer. They are building the open data fabric platform to accelerate trusted AI, and host the Data for AI community. More at datastrato.ai.

Neo4j is the graph database behind many of the world's knowledge graphs. Its native property-graph engine and Cypher query language make relationships a first-class citizen, which is why teams reach for it on connected-data problems and, increasingly, GraphRAG for grounding LLMs. More at neo4j.com.

​​About SVAI

The Silicon Valley AI Hub (SVAI) is where developers, startups, and business leaders come together to build what's next in AI. See more SVAI Events.

Want to reach the Data for AI community with your brand? E-mail adi@datastrato.ai.