Half-day virtual summit brings top enterprise data context experts together to explore optimal use of the enterprise context platform

PALO ALTO, Calif.: 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

In Short:

Who: Speakers at Context 2026 include practitioners and leaders from DataHub customers, design partners, and the open-source community alongside the DataHub product and engineering team. See full list below.

What: Context 2026 is a half-day virtual summit built for practitioners laying the context foundation for their businesses. The event features three parallel tracks (Context, OSS Innovation, and Observability) alongside general sessions, covering the architecture, implementation, and organizational practices behind enterprise context platforms for AI agents.

When: November 4, 2026. Sessions begin at 8:00 AM PT / 11:00 AM ET / 4:00 PM GST.

Where: Virtual. Registration is available at https://datahub.com/context/

Why Now: As enterprises move AI agents from pilot to production, closing the gap between demo-quality outputs and trusted, accurate answers remains a defining engineering challenge. Context 2026 features production-tested patterns and reference architectures from teams doing that work today.

About DataHub

DataHub is the context platform for enterprise AI. It gives AI agents and the people who work with them trusted business context, including metadata, business definitions, and governance policies, across every data platform an enterprise runs. The company was founded in 2021, is headquartered in Palo Alto, CA, and leads the open-source DataHub project, with more than 16,000 contributors. More than 3,000 organizations use DataHub, and DataHub Cloud runs in production at Global 2000 companies including Apple, Block, Chime, Etsy, Foursquare, FIS, Netflix, and Notion. DataHub has raised $65 million from Bessemer Venture Partners, LinkedIn and 8VC. Learn more at www.datahub.com.

Fonte: Business Wire