A valid-looking answer and a reliable answer from AI are not the same thing. Only when your LLMs are grounded in trusted context can you get trusted answers. Today @CollateData announces Collate 2.0, the AI for Data platform that provides agentic automation and orchestration to build enterprise context and put it to work. It carries the context from the question to the answer, into recurring workflows, through data-access decisions, out to the agents your engineers build, and into governance of the AI itself. And it is built on OpenMetadata, the Open Context Layer for AI agents, to ensure that this remains open and interoperable with all your AI and data systems. Select release highlights in Collate 2.0: - Context Layer - Context Center + Memory + Persona-Based Context Curation + Context API/MCP Tooling - Collate AI Analytics - Use natural language to build trusted analytics and governed dashboards with verifiable reasoning - AI Studio - Customize pre-built Collate agents, or build your own custom agents, with a powerful UI-based builder - Data Marketplace + Access Requests - Review Domains and Data Products for trusted data assets and quickly request access - AI Governance Studio (Release Preview) - Register, govern, and audit every LLM, MCP server, and agent Check out the Collate 2.0 release blog for all the details: buff.ly/Y4c5EDM #AIforData #OpenContextLayer #AIAgents #DataEngineering #DataGovernance #OpenMetadata

"If the foundations aren't there, every model will be confidently wrong." Live panel from @BigDataLDN: our CEO Suresh Srinivas, @MikeFerguson1, and Angelita Frozza Sanches (@Scout24) share experience from 1 year in production with AI agents. 🎥 youtube.com/watch?v=fmekRwap… #AIforData #ContextLayer #BigDataLDN #OpenMetadata

Critical governance knowledge lived in individual "data historians," the people who knew where reports originated and why certain transformations existed. When those people left, transferred, or retired, they took that knowledge with them. Read how UnionBank approached it here: buff.ly/I7F9KAu #DataGovernance #BankingData #MetadataManagement #OpenMetadata #ContextLayer

"If context is your moat, it should be open source." Suresh Srinivas (@suresh_m_s), Collate CEO, @BigData_LDN: proprietary context layers trap your AI advantage inside one vendor. Open context compounds. 7x fewer wrong answers. 75% fewer tokens. 4,000+ orgs including OpenAI, Yelp, Airbus. buff.ly/KEkm0gh #AIforData #ContextLayer #AIAgents #OpenMetadata

How many teams have to agree on what "customer" means before your CFO gets a revenue number? @suresh_m_s speaks in @InfoWorld on why AI makes enterprise semantics practical: 7x more accurate answers, query workloads down 86% in our tests. buff.ly/3bMCyyf #Semantics #ContextLayer #OpenMetadata

A user survey at @RakutenGroup found that it took two to three months to determine whether a dataset was useful for a given problem. OpenMetadata is changing that for @RakutenGroup. Read about it here: buff.ly/g91MrpO #OpenMetadata #DataDiscovery #DataGovernance #DataEngineering

Two hours. The Agent-Ready Context Layer, 8am PT. @JessicaTalisman and @d3fmacro on telling a real ontology from a relabeled glossary, and why agents fall over without one. Bring a claim you've been asked to believe. buff.ly/V7a3e5u #Ontology #ContextLayer #OpenMetadata

What happens when your AI agents understand the data, but not what it actually means? For one company, even "order" meant different things across teams - and that ambiguity was enough to make reliable AI reasoning a challenge. See how they approached building the shared context their agents needed to reason consistently across the business. Read the case study here: buff.ly/a5JNhtt #Semantics #Ontology #AIAgents #ContextLayer #OpenMetadata

For our latest episode of Ask the Experts, Collate Founding Account Executive Pierre Jaouen talks with @progrockrec . They talk about the challenges companies face with directives like GDPR, BCBS, and other requirements in Europe, how they are solving these problems, and how Collate also plays a role in the solution. Watch🎥 here👉buff.ly/kSQcylJ #OpenMetadata #DataGovernance #DataDiscovery #BCBS #GDPR #Collate #contextinsights #DataEngineering #TechInterview

We all talk about AI, but the real product is not AI. Context is the real product. AI just multiplies it. Angelita Frozza Sanches, Head of Core Data Platform at Scout24, on what her team built underneath its AI platform. Read about it here: buff.ly/L2wg0iH #AIforData #ContextLayer #DataGovernance #Semantics #OpenMetadata

7.1x more accurate answers. 86% less compute. Our own benchmarks, on our own testing. Inference is where the errors and the token spend live. @JessicaTalisman + @d3fmacro, Oct 14, 8am PT. buff.ly/38oZeEz #ContextLayer #AIforData #OpenMetadata

Four ways to test a context layer before you trust it: 1. Does it make commitments? 2. Can you inspect the logic? 3. Does inference trace to a rule? 4. Who owns the output? @JessicaTalisman + @d3fmacro, Oct 14, 8am PT. buff.ly/zfxHhUh #Ontology #AIAgents #OpenMetadata

Every vendor in this category claims a "context layer." The word stopped meaning anything. We had an independent ontology consultant audit ours against the formal definition, not the marketing one. @JessicaTalisman's verdict: most vendor "ontologies" are a glossary with a hierarchy. Ours passed the harder test: typed relationships, logical axioms, and inference you can trace. buff.ly/dXCGKbX #OpenMetadata #ContextLayer #Ontology

Most vendors show you the answer. We showed our work, and let an independent ontology expert, @JessicaTalisman, grade Collate's context layer, glossary, ontology, and knowledge graph → buff.ly/frUip8D #OpenMetadata #Ontology #ContextLayer

🚨Happening tonight in San Francisco! Open Lakehouse & AI Meetup, hosted with @Dremio and @Lensesio. 📆 Thursday, October 8 | 6–9 PM 📍 Hardwood Bar & Smokery, 680 8th St, San Francisco, CA 94103 🍕 Food & drinks provided Hear from: 🎤 Sriharsha Chintalapani (CTO & Co-founder, Collate) - "Iceberg Made Tables Open. What Makes Context Open?" 🎤 Tun Shwe (Lenses) - "Understanding Agent Harnesses" 🎤 Alex Merced (Dremio) - "The Open Agentic Lakehouse: Building an Open Data and AI Ecosystem" If you're in the city and want to talk open lakehouse, agentic AI, or just grab a bite with people building this stuff, come on by. Spots are limited; save yours now 👉 buff.ly/JiT9qDh #OpenLakehouse #DataEngineering #AI #Iceberg #DataGovernance #SanFrancisco #OpenMetadata #OpenLineage

In just two hours. The Context Swamp, 9am PT. 30 minutes with @Eric_Kavanagh, Bharath Chari, and Jo Perez on whether AI agents are about to repeat the data lake's worst mistake one layer up. Questions at the end; bring one. buff.ly/CX65dkJ #ContextLayer #AIAgents #OpenMetadata

Every agent needs the same four things: what your data means, which definitions to trust, what's been decided, what it can see. Rebuild those per agent, and you get a context swamp. Oct 7, 9am PT. buff.ly/hQnkM40 #ContextLayer #AIAgents #OpenMetadata

🚀 Join us in San Francisco: Open Lakehouse & AI Meetup @CollateData is teaming up with @Dremio and @lensesio for an evening of great conversation (and great food) about the future of open data and AI. 📆 Thursday, October 8 | 6–9 PM 📍 355 Clementina St, San Francisco, CA 94103 🍕 Food & drinks on us On the agenda: 🎤 Sriharsha Chintalapani (CTO & Co-founder, Collate) - "Iceberg Made Tables Open. What Makes Context Open?" 🎤 Tun Shwe (Lenses) - "Understanding Agent Harnesses" 🎤 Alex Merced (Dremio) - "The Open Agentic Lakehouse: Building an Open Data and AI Ecosystem" Whether you're deep into lakehouse architecture, agentic AI, or just want to connect with people building the open data stack, this one's for you. Spots are limited; save yours now 👉 buff.ly/JiT9qDh #OpenLakehouse #DataEngineering #AI #Iceberg #DataGovernance #SanFrancisco #OpenMetadata #OpenLineage

We built data lakes that turned into swamps. We're about to do it again, faster. Every agent rebuilding its own context = a context swamp. @Eric_Kavanagh + Bharath Chari + Jo Perez. 30 mins, Oct 7, 9am PT. buff.ly/6NaDVMe #ContextLayer #AIAgents #OpenMetadata

A global automaker's AI agents couldn't tell a production order from a sales order. Same word, no shared definition; agents stuck. They'd already standardized on @open_metadata, but self-hosting it at enterprise scale pulled their platform team into infrastructure work instead of governance. Collate: same standard, managed, inside their own cloud. Ambiguity resolved through a governed knowledge graph. Full case study: buff.ly/2O2aTlH #AIAgents #ContextPlatform #OpenMetadata

UnionBank of the Philippines relied on "data historians," people who carried lineage knowledge in their heads across 40,000+ data assets. When they left, that knowledge left too. With Collate: 90% fewer discovery service-desk requests, root-cause investigations cut from 5 days to 2, 100% lineage coverage on critical data. Governance that's operational, not just documented. Read about it here: buff.ly/yW1K2Wd #DataGovernance #DataQuality #ContextPlatform #DataLineage #OpenMetadata