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Most "ask your data" tools give you fast answers. Fast and accurate are not the same thing. Information Today, Inc. covered Collate AI Analytics today with the right headline: accurate, governed insights in plain language. Every query runs through the Semantic Context Graph — schemas, ontologies, lineage, governance policies — so the output is traceable and compliant, not just convenient. Data analysts get natural language dashboards. Data leaders get governed, auditable results. No more tradeoff between speed and trust. Read the full coverage 👉 https://buff.ly/f3KSewJ #SemanticIntelligence #AIAnalytics #ContextEngineering #DataGovernance

Vibe coding changed how engineers work. We built the equivalent for data analysts. Today SiliconANGLE & theCUBE covered the launch of Collate AI Analytics: a chat-driven way to find data, write queries, and build dashboards in plain language — without knowing where the data lives or how metrics are defined. The difference from other "ask your data" tools: every answer runs through a Semantic Context Graph. Schemas, ontologies, lineage, and business definitions are built into every query. The result is more than just a fast answer. It's a governed, trustworthy one. Read the full coverage: https://buff.ly/y5CdvlT #SemanticIntelligence #AIAnalytics #ContextEngineering #DataGovernance

Announcing Collate 1.13: Analytics You Can Trust. Built on Semantics You Can See. 📊 How many insights are hiding in your data because the request queue is too long? We've launched an AI data analyst within the platform where your data is already governed, plus new visualizations of the semantic context that AI agents need to understand your business. Highlights: 🤖 Collate AI Analytics: An AI data analyst native to Collate. Ask a question in plain English. The AI finds the right data, generates the correct SQL queries, and returns a chart with an AI Narrative summarizing key findings. The reasoning trace reveals every step (tables searched, definitions applied, queries generated). Chart, Data, and SQL views let you audit at any layer. Pin to shareable dashboards. Respects role-based access controls, so users only query data they can already access. 🧠 Knowledge Graph: New visualizations unifying technical metadata (schemas, lineage, ownership) with semantic metadata (glossary terms, classifications) into one interactive graph. Navigate your data estate from business concept to data asset in a single view. Supports open W3C standards (RDF, OWL, DCAT, DPROD, SKOS, PROV-O, Schema.org), so your semantic context is portable and interoperable, not locked to a single vendor. Every AI agent (native to Collate or custom via MCP) reasons from the same semantic context graph for more accurate business understanding. 🔮 Ontology Explorer: An interactive visual map for building, navigating, and governing your business ontology. Multiple modes (Overview, Hierarchy, Related, Cross Glossary) show how concepts relate within a glossary or across the organization. In Data Mode, trace each concept to the tables, dashboards, and pipelines that implement it, with quality scores, lineage, and ownership in context. Build relationships on canvas and save views for stakeholders. Your business vocabulary, visible and navigable. Even more innovations: • Glossary Terms & Relations with typed RDF-compatible relationships between terms • Hybrid Search unifying keyword and semantic search into a single query box • Columns as Assets for first-class column discovery in Explore, Glossary, and Classifications • Governance Workflow improvements triggering on state transitions, not just creation events • Metadata Exporter Trino support • 8 new connectors: BurstIQ, SSRS, Google Pub/Sub, Airflow REST API, Matillion Data Cloud, MCP expansion, Informix, Microsoft Access We started by standardizing metadata. Now we're standardizing meaning. Read the full launch blog: https://buff.ly/NKvQ3GR #AIAnalytics #SemanticContext #DataGovernance #DataEngineering #Collate #OpenMetadata

Collate 1.13 is here. Analytics you can trust, built on semantics you can see. AI agents need business context to correctly understand your data and deliver accurate results. Without semantic context, AI confidently delivers wrong answers. Collate 1.13 ships a new AI data analyst and visualizations of the semantic context graph that grounds it. Highlights in Collate 1.13 • Collate AI Analytics — an AI data analyst that turns your questions into accurate, governed dashboards • Knowledge Graph — visualizations of every relationship around any data asset, on open W3C standards • Ontology Explorer — typed, RDF-compatible relationships between business concepts • Hybrid Search — semantic and keyword search behind a single query box, no LLM integration required We started by standardizing metadata. Now we're standardizing meaning. Collate 1.13 is the semantic context platform for trusted AI. Learn more about Collate: https://buff.ly/jfpyQnW Try Collate 1.13 in the Sandbox: https://buff.ly/I8A9fjX #AIAnalytics #KnowledgeGraph #OntologyExplorer #SemanticContext #DataGovernance #Collate

📰 News: Today, we announced Collate AI Analytics: an AI data analyst that actually understands your data. For the first time, analysts can come in cold (no prior knowledge of where data lives, which metrics are trusted, or how business concepts are defined), ask a question in plain language, and move from discovery to visualization to dashboard creation in one chat. No data engineers. No separate BI tools. What makes the answers trustworthy: Collate's Semantic Context Graph connects AI agents to the right data sources and business understanding for every prompt, ensuring accuracy and compliance with internal data policies. "Other AI-driven analytics tools could generate a chart, but they couldn't tell you if the chart was right. Every answer needed a second opinion. With Collate AI Analytics, our analysts don't have to worry about a dashboard being grounded in incorrect or ungoverned data. It encodes how our business works and gives the AI that foundation before the question is even asked. There's no second-guessing." — Peeyush Nahar, Chief Product & Technology Officer, Divisions Maintenance Group 📖 Read the Collate AI Analytics announcement: https://buff.ly/KTePZmP #AIAnalytics #AIDataAnalyst #SemanticContext #DataGovernance #DataAnalytics #Collate

Our next Data30 with Joseph P. is next Wednesday, May 6th at 9 AM PDT. Session 6: From Metadata to Meaning — RDF & Ontologies Most organizations have metadata. Very few have meaning. In 30 minutes we'll show how Collate uses semantic technologies- RDF and ontologies, to transform raw metadata into a unified knowledge graph that AI agents can actually reason over. → How ontologies define the structure and meaning behind your data → How the semantic layer bridges technical systems and business concepts → What this looks like in practice for AI copilots, data discovery, and governance This is the context layer AI needs to stop guessing and start understanding. Register to join live 👇 🔗 https://buff.ly/awefi6V #Data30 #OpenMetadata #SemanticIntelligence #DataGovernance #Ontology #KnowledgeGraph #AIAgents #DataEngineering

Apache Kafka is the standard in the streaming space, and in this Collate Solutions video, Aydin Geeringh, CFA, and Shawn Gordon will demonstrate what is involved with bringing it into your Collate environment. You'll see how Kafka integrates with your lineage, and how you can document your data streams with robust metadata. #dataengineering #dataquality #datagovernance #collate #apachekafka

Your LLM issues are really data issues. That's the argument, Sriharsha Chintalapani, on the Stack Overflow Podcast this week. Schema drift. Inconsistent definitions ("What do you mean by 'customer'?"). Weak governance. These are why AI deployments stall, hallucinate, or surface results no one trusts. Making data AI-ready means giving AI systems the context to understand what data means, where it came from, and who owns it. That's what a semantic intelligence platform does. Listen to Harsha on the Stack Overflow Podcast: https://buff.ly/M5N7oCH #DataGovernance #SemanticIntelligence #AIinProduction

The Collate Summit '26 speaker lineup is something else. Bonnie Xu — OpenAI Amy Forest — Yelp Lukas Patzke — Airbus Angelita Frozza Sanches — Scout24 SE Muqtafi Akhmad — Rakuten Andrew Ford — AO Dan Kostecki — Ambry Genetics Jeppe Johansen — Unity Cirene Simbahan — UnionBank of the Philippines Suresh Srinivas + Sriharsha Chintalapani — Collate Practitioners. Not analysts. They're sharing what production actually looks like. June 10. Free. Virtual. 🔗 buff.ly/HcxGymJ #CollateSummit26 #OpenMetadata #DataGovernance #DataEngineering #ModernDataStack #DataCommunity #AIReadiness #VirtualEvent

A new Ask the Expert is here! Steve Wooledge and Shawn Gordon discuss AI semantics, context insights, and data understanding for teams. How the AI revolution is changing how we work with and think about data. 🎥Watch here: https://buff.ly/yJYy6OK #OpenMetadata #SemanticIntelligence #KnowledgeGraph #Ontology