Half-day virtual summit brings top enterprise data context experts together to explore optimal use of the enterprise context platform
DataHub, the company behind the most widely deployed open-source metadata and context platform, is pleased to host Context 2026, the company’s annual practitioner conference, being held virtually on November 4, 2026. The half-day event brings together enterprise data leaders, AI engineers, and platform architects for technical sessions, customer case studies, and product deep dives focused on making AI agents accurate and trustworthy by grounding them in enterprise business context.
“Context engineering has moved from a niche concept to one of the central conversations in enterprise AI, and every major platform vendor announced context capabilities at their summits this year,” said Shirshanka Das, Co-Founder and CTO of DataHub. “Context 2026 is where leaders and practitioners building this discipline at production scale share what they’ve learned, from bootstrapping context out of query logs to getting expert validation workflows right.”
Highlights include:
- “Aladdin’s Context Layer: Inside BlackRock’s Blueprint for Agent-Ready Data” with Jeff Miller, Managing Director and Global Head of Data Factory & Enterprise Data Platforms at BlackRock, on architecting a context foundation for AI agents across the Aladdin platform
- “Every Agent Needs an Onboarding Plan” with Prajakta Damle, Senior Director of Product Management at Google Cloud, on what it takes to prepare enterprise agents for production-grade context consumption
- “Write Once, Serve Everywhere: How Optiver Built the Context Layer for Agents” with Christophe Godefroy, Global Head of Data Platform at Optiver, on building a reusable context layer that serves multiple agents across a global trading operation
- “Deploying Data Analytics Agents to Production at Miro” with Ronald Angel, Data Products Manager at Miro, on how Miro nearly doubled the accuracy of its Snowflake Cortex analytics agent, from approximately 50% to approximately 90%, after integrating DataHub as its context layer
- “The State of Context Engineering” with Kevin Petrie, VP Research at BARC, presenting findings from a 285-stakeholder survey in which context leaders were four times as likely to qualify as AI leaders
- “Community Spotlight: Context in Production @ Calix” with Devashis Sarangi, Distinguished Architect at Calix, on operationalizing context at a broadband platform serving thousands of service providers
Product deep dives from the DataHub engineering team round out the agenda, covering context ingestion, expert validation, context activation across agentic frameworks, and architectural decisions around URNs, GraphRAG vs. RAG, MCP, and observability at scale
The post DataHub Context Returns November 4 with AI Accuracy Blueprints first appeared on AI-Tech Park.
