Watch every session, on demand.
- Enterprise AI is missing a context layer
- Why invest in context?
- Inside Verizon’s context architecture
- The company brain for shared skills and ontologies
- The Post-AI Data Stack: A blueprint for analytics agents
- Open sourcing a spec for AI registries
- Will open context interchange ever be real?
- Recap of the day
The Context Conference Field Guide
Every resource shared at the conference in one place, so you can keep learning and building.
- MIT’s first ever study on contextRead the latest research from MIT Technology Review Insights, with Verizon and Workday, on where enterprise AI stands and what separates the teams getting returns.Read the report
- AI Context Platforms For DummiesThe ultimate introduction to the world of context, covering everything you need to know before beginning your context journey.Get early access
- The FDE Playbook for Analytics AgentsHow to build an analytics agent that gets your business numbers right, from the forward-deployed engineers who build them with customers.Read the playbookSee the public repo
- An open standard for AI registriesOpen source and built by the community: one shared way to describe your agents, what they use, and who owns them. Bring your use case and help shape it.Open on GitHub
- Analytics Agent AcceleratorOur forward-deployed engineers have spent a year building analytics agents alongside enterprise data and AI teams. We’re bringing all their learnings to a small cohort starting November 9. Bring your data, leave with a working agent.Apply for a spot
- Context in Practice SummitA virtual summit on December 3. Data and AI teams show how they got the business to actually use their context, and to trust the AI built on it.Save your spot
Build AI that gets your business right
Bring your AI use cases. We'll work through where context fits in them, and where you should start with your AI context platform.