CollateData

AI agents don’t fail because the model is weak.' They fail because your data has structure… but not shared meaning. “Regional revenue” means one thing to Finance and another to Sales. An LLM will confidently pick one and move on. That’s how AI pilots stall. Today, we’re launching Collate’s Semantic Intelligence Graph. Built on OpenMetadata, it transforms metadata into a semantic graph that makes business meaning machine-readable and reusable across your stack. New capabilities: 🤖 AI Studio – A suite of AI agents for data quality, governance, documentation, and SQL. Tune them to your standards or build new agents grounded in your semantic graph. 🔌 AI SDK – Invoke semantic agents from your custom AI applications built on Python, Java, or TypeScript with no external dependencies, or integrate with external systems like GitHub, CI/CD pipelines, and n8n workflows. 🌐 Open Standards – OpenLineage, Open Data Contract Standard (ODCS) The impact: • Fewer hallucinated answers • Faster AI deployment • Governance before bad data ships • Clear auditability • Less engineering rework This is the shift from AI experimentation to production-ready, trusted AI systems. Full announcement: getcollate.io/blog/collate-l… March 5 webinar: datasciconnect.com/events/webinar… #SemanticIntelligence #EnterpriseAI #AIAgents #DataGovernance #AITrust

Context isn’t optional for enterprise AI. It’s the difference between answers and accurate, trustworthy decisions. This new white paper from industry expert, @mikeferguson1, explores how leading organizations are building AI-ready data foundations with unified semantics and governance 👇 What you’ll learn: → How a unified knowledge graph eliminates semantic chaos and gives AI consistent context → Why AI-powered governance is key to enforcing quality, security, and policies at scale → How to build reusable, AI-ready data products faster with metadata-driven workflows → What a semantic system of record looks like - and why it acts as persistent memory for AI If you’re serious about reducing hallucinations and scaling AI responsibly, this is a must-read. Download here👇 🔗buff.ly/CKxXNq6 #DataGovernance #AI #Metadata #KnowledgeGraph #AIAgents #DataEngineering #SemanticLayer

Most governance failures mean audit findings. In clinical genetics, the stakes are higher. Dan Kostecki from @AmbryGenetics at Collate Summit '26: governed data product lifecycle, PHI-free production environment, CAP/CLIA + HIPAA + FDA Part 11 compliant. June 10 | Virtual | Free getcollate.io/summit2026 #CollateSummit #DataGovernance #DataQuality #DataEngineering #AIinProduction

Before you deploy an AI agent, ask yourself one question: Does your data have an agreed-upon meaning that a machine can actually read? If the answer is no, the agent will guess. Every time. Semantic intelligence is the trust layer that fixes this. It turns metadata into machine-readable context that both humans and AI can rely on. At @CollateData, we're going deep on how to build it. June 10. Free. 🔗 getcollate.io/summit2026 #SemanticIntelligence #AI #DataGovernance

Apache Iceberg is the dominant force in the table format space, and as such, it's an important part of your data ecosystem, and it is, of course, supported by #OpenMetadata. The support is less obvious and more convenient than you might have thought. In this new episode of Ask the Experts, Teddy Crepineau and @progrockrec will explain it all to you and give a practical demonstration. Not to be missed! 🎥👉youtu.be/aMCpmmywEGs #apacheiceberg #dataengineering #datagovernance #datalineage #dataquality

Amy Forest, Software Engineer on @Yelp's Core Data Platform, is speaking at @CollateData Summit. At Yelp's scale, data trust isn't a nice-to-have. It's infrastructure. Amy's sharing what building that foundation actually looks like, from inside one of the most data-intensive consumer platforms in the world. June 10. Free. 🔗 getcollate.io/summit2026

This Wednesday at 11 AM PDT, our CEO & Co-Founder @suresh_m_s is on stage with @DataSciConnect. The question on the table: as enterprises push AI into production, how do you ensure outputs reflect the right data, tone, and constraints, every time? It's a context architecture question. And the answer is becoming foundational to trustworthy AI. Free. One hour. Worth it. Register here 👉️ buff.ly/7qGVSx3 #ContextLayerAI #DataScienceConnect #SemanticIntelligence #RAG #GenerativeAI #AIAgents #DataGovernance #OpenMetadata

In this month's Product Demo, Dale Kim and James Nguyen showed how Collate, the enterprise platform built on OpenMetadata, takes you from "I need data" to "here's the data I need, who owns it, and why I can trust it." Your data teams can spend hours hunting for the right datasets, and even longer figuring out if they can trust what they find. You can't succeed with your data initiatives if you're constantly afraid of garbage-in-garbage-out. They covered: * A brief demo of data discovery and trust signals in Collate * Why discovery is only the start, and what else you need to make data usable * A quick walkthrough and discussion of Data Contracts in Collate 👉🎥Watch here: youtu.be/_V1vVyrENDQ #AI #datadiscovery #dataquality #datalineage #datagovernance #dataengineering #datastewards #dateacontracts

At 50 users and 5,000 tables, metadata management saves $2M+ annually. That's just the productivity floor. It doesn't include the cost of bad decisions made on wrong data. Or regulatory exposure. Or customer churn from data quality failures. Forrester found 25% of companies lose $5M+ annually from poor data quality. 7% lose $25M or more. MIT puts the cost of bad data at 15–25% of revenue. The ROI case for metadata has always been proven. AI just made it urgent - because unlike your analysts, AI agents don't pause when a number looks suspicious. They confidently return wrong answers at scale. We built the framework to help you make the case internally. 6 levers. Sized at 25, 50, and 250 users. Conservative assumptions. Download the whitepaper 👇 🔗 buff.ly/MhLrm44 #MetadataROI #DataGovernance #DataQuality #SemanticIntelligence #AI #OpenMetadata #DataStrategy #CDO #DataLeaders

AI amplifies ambiguity 100x. "Revenue" means three things across your org. Your agent picks one and returns a confident wrong answer. @suresh_m_s explains why this is an architecture problem, not a model problem: buff.ly/137kQDE #DataGovernance #SemanticLayer #AIAgents #Ontology #ContextLayer

A data steward opened Ontology Explorer for the first time. Two minutes in, she spotted it: Three definitions of Revenue (Finance, Sales, Product) with zero formal relationships between them. Every version was being used downstream, feeding different answers into the same questions. She resolved it on the canvas: → Marked Finance as the authoritative definition → Declared equivalence to the Sales and Product versions → Tagged GDPR governance once at the concept level, which propagated automatically to all 847 implementing assets That's the difference between maintaining a flat glossary and governing an ontology. 🗺️ Collate 1.13 Ontology Explorer is your entire business vocabulary as an interactive graph, with term hierarchies, cross-domain connections, and a Data Mode that traces every term to the data that implements it. Ontology Explorer surfaces coverage gaps instantly. If your catalog has 34 glossary terms with zero relationships, opening the graph makes them visible immediately. Read the details: blog.getcollate.io/ground-your-ai… #Ontology #KnowledgeGraph #SemanticContext #DataGovernance #Collate

Hallucinations aren't a model problem. They're a context problem. When AI systems don't have access to the right data, the right tone, and the right constraints at the right time... they guess. Next Wednesday, our Co-Founder & CEO @suresh_m_s is breaking down how leading teams are solving this, with context-aware architecture built for production. The Context Layer: The Emerging Stack for Context-Aware AI 📅 Wed May 13 | 11 AM–12 PM PDT 🎙 @DataSciConnect Joining Suresh: Andreas Blumauer from Graphwise and Donald Spaulding from @Verizon. Free to attend 👇 🔗 buff.ly/7qGVSx3 #ContextLayer #DataScienceConnect #SemanticIntelligence #AIAgents #GenerativeAI #DataGovernance #OpenMetadata #AIArchitecture

@OpenAI built their internal data agent on @open_metadata. Bonnie Xu covers the architecture, context layers, and scaling AI-assisted analytics at petabyte scale. Keynote: "Inside OpenAI's Internal AI Data Agent" | Collate Summit '26 | June 10 | Free Register: buff.ly/zRbLuhJ #OpenMetadata #DataEngineering #AIAgents #ContextLayer #DataGovernance

Pick any table in your catalog. Try listing, in under a minute, every team that depends on it, every glossary term it maps to, and everything that breaks if the schema changes. Most people can't. That's why we built the new Knowledge Graph visualization. 🔮 Collate 1.13 renders the full relationship context of any asset in a single interactive view: → Ownership, teams, and domain context → Schema hierarchy, upstream sources, and downstream consumers → Business semantics, plus relationships inferred automatically from your metadata Built on open W3C standards (RDF, OWL, DCAT, DPROD, SKOS, PROV-O, Schema.org) for portability and interoperability. Every AI agent that queries your data, including those through MCP, reasons from the same semantic context graph of ownership, lineage, and glossaries. See your entire data ecosystem in one view instead of digging through spreadsheets and Slack threads. Read the details: blog.getcollate.io/build-ai-you-c… #KnowledgeGraph #SemanticContext #DataGovernance #AIAgents #Collate

AI is putting real pressure on data teams - not just to scale, but to make data understandable. In this InsideAnalysis episode, presented by @eric_kavanagh, @JessicaTalisman explains why data graphs and semantics are becoming the foundation for enterprise AI 👇 What she covers: → Why data graphs + ontologies succeed where MDM and data virtualization fall short → How semantic layers connect domain logic to enterprise data → What RDF & OWL unlock beyond traditional data catalogs → How to bring real context and meaning into your data ecosystem You’ll also hear from @d3fmacro, Co-Founder of Collate, who shows how semantics can be embedded into every data structure through automation and open standards. If you’re serious about AI, this is the layer most teams are missing! 🎥 Watch the full episode here: buff.ly/9zeAjcX #AI #DataEngineering #KnowledgeGraph #SemanticLayer #AIAgents #DataGovernance #RDF #EnterpriseAI

@suresh_m_s just got off the Data Summit stage, where he made the case that AI doesn't fail because of bad models. It fails because the data underneath has no shared meaning. Tonight? An evening of exactly that conversation. Metadata, governance, and making AI actually work in production at the @CollateData + @open_metadata Boston meetup. Good conversations don't stop when the conference ends. 🎟 Still time to join us: luma.com/ewm14xmh #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #DataCommunity

"CEO is Chief EVERYTHING Officer. You're part of the product. You are part of sales. You are part of marketing. You are driving all sides of the company." @suresh_m_s (@CollateData) in @ITBrew on what it actually takes to move from infrastructure to CEO. buff.ly/lge8kgy #DataLeadership #DataGovernance #CIO

Cirene Simon Simbahan, Head of Data Trust and Governance at @UnionBankPH, speaking at #CollateSummit. Scaling Data Products & Governance at a Digital-First Bank 38K+ assets governed. Lineage across Snowflake, SageMaker, and QuickSight. Data products delivered by Collate to 100s of users June 10 | Virtual | Free | buff.ly/zRbLuhJ #DataGovernance #FinancialServices #DataEngineering #DataProducts

Tomorrow at 3:15 PM ET, @suresh_m_s takes the stage at Data Summit. Spoiler alert: AI doesn't fail because of bad models. It fails because the data underneath has no shared meaning. Come hear the fix live. Then join us tomorrow evening for the @Collatedata + @open_metadata Boston meetup 🍷 RSVP Here 👉️ luma.com/ewm14xmh #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #GenAI

It's Monday morning. A stakeholder asks: "How is MRR trending by segment this quarter?" The old path meant filing a data request, waiting on pipeline work, hunting for a similar dashboard that’s gone stale, writing SQL, fighting the schema, and debating which Revenue definition is authoritative. Dashboard delivered Friday at the earliest. Introducing Collate AI Analytics. Ask it a question in plain English. It delivers: → Governed charts with AI-written summaries of key findings → Reasoning trace visible at every step: tables searched, definitions applied, queries written → Chart, Data, and SQL views for audit before sharing A stakeholder-ready dashboard in minutes, grounded in your business context and powered by Collate's semantic context graph. Your AI Data Analyst for Governed Data. ✨ Read the details: getcollate.io/blog/introduci… #AIAnalytics #AIDataAnalyst #SemanticContext #DataGovernance #Collate

Boston week is here 👋 We're en route to Data Summit 2026! Two full days of modern data architecture, GenAI, semantic layers, and the people actually building this stuff. Don't miss our Co-Founder & CEO @suresh_m_s on Wednesday at 3:15 PM ET for his live discussion, "The Missing Layer: How Semantics & Metadata Connect People, Data & AI." Then that evening, join us at the @CollateData + @open_metadata community meetup. Come for the conference, stay for the conversation. Two events. One awesome city. One very good week. 🎟 Meetup RSVP: luma.com/ewm14xmh 🔗 DBTA Summit: buff.ly/72RVnXv #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #GenAI #DataArchitecture