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SUMMARY:From data analysis in Jupyter Notebooks to production applications
 : AI infrastructure at reasonable scale - Frank Sauerburger
DTSTART;TZID=Europe/Berlin:20240828T135500
DTEND;TZID=Europe/Berlin:20240828T141500
DTSTAMP:20260815T004933Z
UID:pretalx-euroscipy-2024-8NJGVH@pretalx.com
DESCRIPTION:The availability of AI models and packages in the Python ecosy
 stem has revolutionized many applications across domains. This talk discus
 ses infrastructural decisions and best practices that bridge the gap betwe
 en interactive data analyses in notebooks and production applications at a
  reasonable scale\, suitable for both commercial and scientific contexts. 
 In particular\, the talk introduces the on-premises\, Python-based AI arch
 itecture employed at MDPI\, one of the largest open-access publishers. The
  presentation emphasizes the impact of the design on reproducibility\, dec
 oupling of different resources\, and ease of use during the development an
 d exploration phases.
LOCATION:Room 7
URL:https://pretalx.com/euroscipy-2024/talk/8NJGVH/
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