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Enhancing Agent Governance with DataHub and SecuPi: From Trusted Context to Runtime Control
How DataHub and SecuPi pair trusted context with runtime enforcement so AI agent governance follows the end user.
Meet the Winners of Build with DataHub: The Agent Hackathon
Seven projects shared $20,500 building agents on DataHub's context graph. See what they built and how they used real lineage, schemas, and write-back.
Introducing DataHub Cloud v2.2
DataHub Cloud v2.2 opens the Context Platform to Public Beta, ships custom AI Agents in private beta, and introduces an Ontology Explorer and Data Product Marketplace.
BARC Study of 285 Organizations Finds Context Leaders Are Four Times More Likely to Lead in AI
New research sponsored by DataHub defines the architectural foundation for reliable agentic AI and reveals that fewer than half of organizations manage context beyond…
Context Engineering for Agentic AI: 2026 BARC Study
Survey data from 285 data, AI, IT, and business leaders exposes the gap between AI confidence and the context management infrastructure production-scale agentic AI demands.
How Miro Took Text-to-SQL Accuracy From Under 40% to Over 90%
Miro used DataHub as the context layer between Claude Code and Snowflake Cortex, lifting text-to-SQL accuracy from under 40% to over 90%.
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How DataHub Integrates with Modern Data Tech Stacks
How DataHub integrates with modern tech stacks: what it ingests from 150+ sources and how that context reaches your agents and BI tools.
SME Feedback in Claude for Continuously Trusted Context
See how DataHub Cloud enables subject matter experts to correct outdated context directly inside Claude and watch the fix automatically route to the right domain owner, update the context layer, and propagate everywhere.
Context Hub: Where Expert Knowledge Becomes Agent-Ready Context
See how DataHub Cloud's Context Hub gives domain experts a workspace to review AI-proposed context, resolve conflicting definitions, simulate the impact on text-to-SQL results, and publish with confidence.
How DataHub Cloud Generates a Semantic Index from Enterprise Query History
See how DataHub Cloud's Context Intelligence mines years of enterprise query history to generate a semantic index with no manual semantic modeling required. Watch coverage go from near zero to production-ready in minutes.
How Business Users Get Accurate Answers with DataHub Context Platform
See how DataHub Cloud's verified context surfaces in Claude, Snowflake Intelligence, and Slack giving business users accurate answers in the tools they already use, without opening a data catalog.
How Domain Experts Review and Approve Context in DataHub Cloud
See how DataHub Cloud brings context proposals to domain experts in Slack, no catalog login required. Review, approve, and enrich AI-drafted context in plain English.