What if the Confluence page that defines your most-used metric was actually part of your data platform?
That is what we are showing live on June 18. Collate Context Center brings institutional knowledge into the same layer that powers AI, search, and governance.
Register here: buff.ly/FclAJ2k#Collate#OpenContextLayer#DataGovernance#OpenMetadata#DataEngineering
Dashboards have been the default for sharing insights for decades.
But as teams scale and AI enters the picture, the cracks are showing.
Data30 Session 7: From Data to Decisions
📅 June 17 | 12 PM ET
🔗 buff.ly/WCzxQma
30 minutes on what modern insight sharing actually looks like.
#Data30#DataAnalytics
ALT Data30 Session 7: From Data to Decisions — June 17, 12 PM ET
Imagine if your smartest colleague can only whisper knowledge to one person at a time. Everyone else guesses.
That's enterprise AI agents today. Collate 2.0 fixes it with shared memory: one correction, inherited by every agent.
Thanks @miyadavid for including Collate CTO @d3fmacro in @VentureBeat. Wishing her well on what's next.
buff.ly/9bHBML2#AIAgents#ContextCenter#AIforData
Most AI for Data works in demo but falls apart in production. For real-life environments, LLMs identify the right data for a given prompt about 10% of the time. That has made AI for Data a non-starter for serious data work.
Yesterday at Collate Summit we announced Collate 2.0. Collate translates the prompt into reliable action, grounded in a semantic context graph spanning every data source in the enterprise.
This trust is grounded in three primitives, with benchmarks showing that data agent performance was boosted by up to 7X.
• Context. 130 native connectors map every source to a single open metadata graph.
• Semantics. A rich ontology lets agents reason over business meaning, not just column names.
• Memory. Corrections and definitions become reusable "memory nuggets" shared across all agents and users who follow.
Collate 2.0 brings vibe-working to data analysts, data engineers, and governance professionals. Now, you can ship trusted AI for Data into production across all your data teams.
Read the announcement: buff.ly/X6hFwdF#ContextLayer#AIforData#AIAgents#OpenMetadata#DataGovernance
Collate Summit '26 is one week away.
Join us on June 10 for practical conversations on AI in production, governed data, trusted metadata, and modern data platforms.
Register: buff.ly/cnu3ZnV#CollateSummit#DataAI#DataGovernance
ChatGPT on database schemas: 10% accuracy.
Same model Collate semantic context: 77%.
Context tells AI where data lives. Semantics tells AI what data means. Both layers matter.
Collate named to the DBTA 100 — Companies That Matter Most in Data, 2026.
buff.ly/rEeyxIg#SemanticContext#ContextLayer#AIforData#DBTA100
Check out the latest episode of the Collate Product Demo Series. This shows many of the powerful data quality capabilities in Collate that eliminate the errors that cost your business money. Also see how to get an analytics head start with Collate AI Analytics.
🎥👉Watch here: buff.ly/E5pPXmA#DataQuality#OpenMetadata#DataEngineering#Collate#AiAnalytics
Data quality owned only by engineering is a data quality problem. This Thursday, we are showing how Collate makes it a shared one and how AI scales coverage automatically. May 28 at 9 AM PT.
👉 Register Now: luma.com/2xn3we34#DataQuality#OpenMetadata#DataEngineering#Collate
Most teams test data after it is loaded into production tables. By then, the damage is done. Join us on May 28 to see how Collate prevents bad data from being published, along with an overview of Collate AI Analytics.
👉 Register Now: luma.com/2xn3we34#DataQuality#OpenMetadata#DataEngineering#Collate
Pipeline breaks. Incident channel fires in Slack.
@unity built a bot that's already there when it does.
Their Data Platform team wired @CollateData MCP to Slack: compliance reviews on demand today, auto-joining incident channels with upstream/downstream context and direct pipeline links next.
Context layer as infrastructure. Blast radius as a query.
Jeppe Johansen shares how at #CollateSummit. June 10. Free.
buff.ly/yHOH3jG#DataGovernance#DataEngineering#AIAgents#AIinProduction#MCP
Jo Perez and Aydin Geering teamed up for this latest episode of Data 30, "From Metadata to Meaning: RDF & Ontologies". This session shows how Collate uses semantic technologies to transform raw metadata into a unified knowledge graph, capturing the meaning, relationships, and business context behind your data. This semantic foundation enables AI agents to move beyond surface-level answers and instead reason over your data with accuracy and context.
You'll learn how ontologies define the structure and meaning of your data, while the semantic layer bridges technical systems and business concepts, creating a consistent, governed view that AI and users can rely on.
Whether you're enabling AI copilots, improving data discovery, or strengthening governance, this session will highlight how Collate becomes the intelligence layer that connects your data to real-world understanding, powering more reliable insights and smarter decision-making.
👉🎥Watch here: buff.ly/UaSDtXU#Data30#OpenMetadata#SemanticIntelligence#Ontology#KnowledgeGraph#AIAgents#datagovernance