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SUMMARY:Building a Sovereign\, Open‑Source Data & AI Stack for Europe - 
 Dimitrios Avramidis
DTSTART;TZID=Europe/Luxembourg:20261007T150000
DTEND;TZID=Europe/Luxembourg:20261007T153000
DTSTAMP:20260916T160801Z
UID:pretalx-open-source-conference-luxembourg-2026-PM3HRE@pretalx.com
DESCRIPTION:The main obstacles to a truly open‑source AI stack are fragm
 ented tooling\, limited reproducibility\, and the scarcity of mature pipel
 ines for edge deployment. The core of our approach overcomes these challen
 ges with a multi‑gateway architecture that decouples the model graph fro
 m the execution environment\, allowing a single logical model to run on mu
 ltiple targets while keeping data logic\, storage format\, and runtime pro
 vider clearly separated. Built on AIONIO’s DuckLake + SQLMesh framew
 ork\, the platform can be reproduced effortlessly on a developer’s lapto
 p and in the cloud—all from one codebase. In the cloud\, both the comput
 e jobs and the database are deployed as serverless services\, providing au
 tomatic scaling without any server‑management overhead. Compared with th
 e Snowflake + dbt combination\, this open‑source stack is better sui
 ted for heavy data‑transformation and machine‑learning workloads.\n\nT
 he framework equips organisations with a concrete scheme and a curated set
  of modular tools that can be seamlessly integrated. It enables teams to m
 ove quickly from local development to prototyping and then to production
 ‑ready\, scalable pipelines. Analytical workloads are handled through cl
 early defined ingestion\, transformation\, and layering stages\, ensuring 
 robust governance across the entire data lifecycle.
LOCATION:Artificial Intelligence
URL:https://pretalx.com/open-source-conference-luxembourg-2026/talk/PM3HRE
 /
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