DataHub

Big news! 🚀 DataHub Cloud Context is GA! It's the context layer that makes agents reliable in production, delivering technical, semantic, and knowledge context to any agent. We spent five months in private beta with enterprise teams across finance, retail, and tech. The bottleneck is rarely the model. It's the context. More from our co-founder @Johnny__Joyce: ordnl.link/B5JtCkF

Context leaders are 4x more likely to run AI in production. 📈 BARC's Kevin Petrie digs into the research at CONTEXT 2026, free and virtual Nov 4. ordnl.link/xygDnWB

Agents will take on the semantic modeling your team keeps putting off. DataHub's Agent Platform uses your metadata graph and ownership to scale it without new headcount. See it at CONTEXT 2026 on Nov 4. ➡️ ordnl.link/PPu8zxZ

CONTEXT 2026 is for you if your agents keep citing tables nobody trusts, "active customer" has three definitions, and you've shipped a model while holding your breath. November 4. Free and virtual. Sign up: ordnl.link/1WZucep

Domain knowledge is easy to agree on. Keeping it current across a whole enterprise is the hard part. At CONTEXT 2026, ICA's Björn Barrefors, Wolters Kluwer's Amar Pratap, & ReKnew's Lestan D'Souza get into what they shipped and kept running. 𝗙𝗿𝗲𝗲, 𝗼𝗻 𝗡𝗼𝘃 𝟰: ordnl.link/X9btGQm

If you want to hear more about DataHub Cloud Context, including customers sharing use cases and experiences, join us at 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝟮𝟬𝟮𝟲! It's free, online, & a half-day of expert sessions & panels all about context for your business & AI agents: ordnl.link/B74Ugqv

Discovery, governance, and trust at @Netflix scale is no small thing. Their team leans on DataHub to keep data findable and governed as it grows. 👉 ordnl.link/FtfwSTV

Your agents' context already exists, in your schemas, lineage, and BI definitions. The cold start is compressing it into something an agent can use cheaply and consistently. The playbook, at CONTEXT 2026 on November 4: ordnl.link/u9yXBXv

Miro's analytics agent went from under 40% accuracy to past 90% once the team gave it trustworthy context through DataHub. At CONTEXT 2026, @MiroHQ's Ronald Angel joins @Johnny__Joyce to chat keeping agents reliable after they go live. Free, virtual, Nov 4: ordnl.link/sdKpHv9

An agent that was right last week is wrong this week, with nothing in the logs to flag it. At CONTEXT 2026, Chris Collins shows how evals catch these regressions before users do. Join us online on Nov 4: ordnl.link/g4RTzBG

🎬 That’s a wrap on #GartnerSYM Orlando. Thanks to everyone who visited our booth & joined @Shirshanka’s session on pushing AI agent accuracy from 40% to 90% with a production-grade context layer. Next stop: Gartner IT Symposium/Xpo™ Barcelona, Nov. 9-12. Swing by our booth & catch this session on Nov. 12. 📅

You can now trace a wrong-looking dashboard number from the chart through its metric to the exact upstream column, without leaving the graph. Metrics and semantic models are first-class in lineage in DataHub Cloud v2.3 (public beta). ordnl.link/8LNgihp

Your data platform's newest customer is an agent that can't ask a colleague which table to trust. At CONTEXT 2026, Optiver's Christophe Godefroy shows the context layer his team built on DataHub. Governed context took agent accuracy from 42% to 74%: ordnl.link/eohBL1J

A model makes it to production when your team can trust the data behind it. @IDC studied five enterprises on DataHub Cloud and saw it firsthand. Our ROI calculator estimates what DataHub Cloud could be worth for your org. Run your numbers: ordnl.link/u9BjW5F

600 quality checks can mean control, or 600 alerts nobody reads. At CONTEXT 2026, Super's Nikola Kljajo shows how his team turned those checks into data confidence on Snowflake, Airflow, and DataHub. Free, virtual, Nov 4: ordnl.link/PDcNIJ0

We asked 250 IT and data leaders about context management. 88% say they run an operational context platform. Yet 87% say data readiness is still what blocks AI in production... The State of Context Management Report 2026 digs into why: ordnl.link/TW0te34

Policy without tooling is just paper. At CONTEXT 2026, Björn Barrefors (ICA Gruppen, ex-Spotify) joins a panel on domain knowledge that works in production, and how much of the curation load agents can now carry. Free, virtual, Nov 4: ordnl.link/caSt7Dc

The knowledge that runs a business lives scattered across glossaries, metrics, lineage, and a few people's heads. At CONTEXT 2026, ReKnew CTO Les D'Souza makes the case for treating it as strategic infrastructure. Free, virtual, Nov 4: datahub.com/context/?utm_cam…

"Active customer" has three definitions across your company, and your agent picks whichever the schema points to. A semantic layer settles it. Take a look at where it fits in context management. ▶️