Steve Wooledge

So sad but true. Wish I never would have given my kids screens until they were 16. We held out well until COVID.

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

Data30 - Session 6 is live in 1 hour! From Metadata to Meaning: RDF & Ontologies Today, Wed May 20 | 9:00–9:30 AM PT The challenge for AI isn't access to data anymore, it's understanding it. Today we're showing how @CollateData turns metadata into a semantic knowledge graph that AI agents can reason over with accuracy and context. Join live 👇 🔗 buff.ly/awefi6V #Data30 #OpenMetadata #SemanticIntelligence #Ontology #KnowledgeGraph #AIAgents #DataGovernance

"Data catalog" became a bad word at @Scout24 after their legacy catalog failed. After modernizing with @CollateData, Head of Data Infrastructure and Governance, Angelita Frozza Sanches implemented their "context catalog" The goal: give AI agents and people shared meaning, ownership, and trust signals for every data interaction. She presents the full build at Collate Summit, June 10. Free: getcollate.io/summit2026 #DataGovernance #ContextLayer #AIAgents

Lukas Patzke, Analytics Architect @Airbus is sharing his knowledge on an expert panel at Collate Summit on June 10. "Governance in an AI-First World" Experts will discuss trends in data and AI governance as self-service analytics and self-service AI scales at organizations. June 10. Free. 🔗 buff.ly/HcxGymJ #DataEngineering #DataGovernance #AIGovernance #AIAnalytics #CollateSummit

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

This will be a great session by Yelp talking about how they build context for LLMs and replaced a legacy data catalog to do so.

Amy Forest, Software Engineer on @Yelp's Core Data Platform, is speaking at Collate 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. 🔗 buff.ly/HcxGymJ #CollateSummit #SemanticIntelligence #ContextLayer #AIinProduction

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

🏆 Back to the Metadata Hackathon - Project Winners Announcement! We received submissions spanning MCP servers, AI agents, governance tools, custom connectors, and observability dashboards built on @open_metadata, and every entry raised the bar. Congratulations to the hackathon winners! 🎉 We have our another event live, win $4000 just by completing a FREE course: wemakedevs.org/orchestration

@WeMakeDevs @open_metadata Congratulations to all the winners and thank you for your contributions!

OpenAI will share how they built their own internal AI data analyst. Should be a great session!

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

"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

Your text-to-SQL problem is not the LLM. 📊 On academic benchmarks, top models exceed 85% accuracy. Point them at real enterprise data, and accuracy collapses to 10.8%. The reason: enterprise warehouses encode meaning the schema can't reveal — ambiguous business terms, 800-table catalogs with tribal naming, business logic that lives in someone's head. A general-purpose LLM substitutes its best guess and ships confidently wrong answers. We benchmarked the extent to which semantic context changes the outcome. Same LLM (Sonnet 4.5), same data, same questions. The only variable: whether Collate's Semantic Context Graph was in scope. → Spider 2.0-Snow accuracy: 10.8% → 76.5% (7.1x lift) → The same semantic foundation grounds Collate AI Analytics 7.1x more accurate on enterprise text-to-SQL. The bottleneck isn't the model — it's the meaning the model has access to. Read the details: getcollate.io/blog/your-text… #TextToSQL #SemanticContext #AIAnalytics #Benchmark #CollateAI