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PRODID:-//pretalx//cfp.pydata.org//pydata-eindhoven-2025//talk//FVGMBL
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SUMMARY:From Experiment to Enterprise: Architecting AI for Stability and S
 cale - Roland Kunz
DTSTART:20251209T144500Z
DTEND:20251209T151500Z
DTSTAMP:20260807T113127Z
UID:pretalx-pydata-eindhoven-2025-FVGMBL@cfp.pydata.org
DESCRIPTION:AI teams iterate at the speed of innovation\, while organizati
 ons require platforms that are reliable\, governed\, and cost‑efficient.
  This session presents pragmatic patterns and reference architectures that
  align rapid development with production requirements—so data scientists
  and developers can move fast without breaking stability.
LOCATION:Planck-Bohr
URL:https://cfp.pydata.org/pydata-eindhoven-2025/talk/FVGMBL/
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