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UID:pretalx-pyconde-pydata-berlin-2023-ABNXHC@pretalx.com
DTSTART;TZID=CET:20230417T154500
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DESCRIPTION:At the boundary of model development and MLOps lies the balance
  between the speed of deploying new models and ensuring operational constr
 aints. These include factors like low latency prediction\, the absence of 
 vulnerabilities in dependencies and the need for the model behavior to sta
 y reproducible for years. The longer the list of constraints\, the longer 
 it usually takes to take a model from its development environment into pro
 duction. In this talk\, we present how we seemingly managed to square the 
 circle and have both a rapid\, highly dynamic model development and yet al
 so a stable and high-performance deployment.
DTSTAMP:20260419T151907Z
LOCATION:B07-B08
SUMMARY:Have your cake and eat it too: Rapid model development and stable\,
  high-performance deployments - Christian Bourjau\, Jakub Bachurski
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/ABNXHC/
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