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Details

Databricks are bringing DevConnect back to London for an evening of technical chat, practical demos, and time with people who build the platform. This one is organised and hosted by the Databricks Developer Relations team, at the Databricks London office.
Expect a mix of new features, real-world lessons, and the sort of “how does that work then?” conversations you do not get from a slide deck.

Important! To attend, register here:
events.databricks.com/devconnect-london

Who’s it for?
If you work anywhere around data engineering, analytics, ML, or GenAI and you like getting into the details, you’ll be in good company.

What you’ll get out of it

  • Deep dives into Lakebase, Genie, Knowledge Assistant, Unity Catalog, and getting AI agents into production with MLflow.
  • People you can actually ask questions to: Databricks folks across DevRel, product, field engineering, and MVPs.
  • Networking, bites and beverages (translation: you won’t be surviving on conference mints).
  • Swag raffle, plus access to hands-on training and guided labs via Databricks Academy Labs after the event.

Agenda

  • 5:00pm – 6:00pm: Registration & mingling
  • 6:00pm – 6:15pm: Welcome remarks
  • 6:15pm – 6:45pm: Lakebase: unlock operational use cases with agents and apps on your lakehouse data
  • 6:45pm – 7:15pm: Simplify your stack: Genie, Knowledge Assistant, and IDP (with Unity Catalog as the governance layer)
  • 7:15pm – 7:45pm: Operationalising high quality AI agents: experimentation and evaluation through to production with MLflow
  • 7:45pm – 8:00pm: Closing remarks
  • 8:00pm – 9:00pm: Networking reception

Speakers are listed as “coming soon” on the event page, so keep an eye on the registration link for the latest.

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When & Where:
Wednesday 29 April 2026, 5:00pm – 9:00pm
Databricks London, 11–14 Windmill St, London, W1T 2JG

⚠️ Important: you must register via Databricks
To attend, register here:
events.databricks.com/devconnect-london

Related topics

Events in London, GB
Artificial Intelligence
Apache Spark
Data Analytics
Data Engineering
Open Source

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