Hi Jan,
Most data teams are investing heavily in data lakes, analytics tooling, and AI projects. Yet the same blockers keep coming up:
- Data scattered across disconnected systems
- Slow, expensive queries
- Inconsistent business metrics
- AI projects stalling for lack of data context
The bottleneck isn't the AI model. It's the data architecture underneath it.
Organisations like Shell have figured this out. By building on an open Lakehouse platform with Apache Iceberg and Dremio, they reduced LLM calls by 48% and SQL queries by 87%.
In our hands-on workshop, we'll show you how to build that architecture - from data ingestion to AI Agents querying your data in plain language.
You'll leave with a live Dremio Cloud environment, Apache Iceberg tables, a governed Semantic Layer, and a blueprint for an open, AI-ready data architecture.
21 July 2026 · 10:00 BST / 11:00 CEST (45 min. workshop + 15 min. Q&A)
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See you soon,
The Dremio Team
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