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UID:SESS-231@sf26-agenda
DTSTAMP:20261103T091709Z
DTSTART:20261104T231500Z
DTEND:20261105T000000Z
SUMMARY:AI model serving for Apache Flink®
LOCATION:Meet-Up Hub
DESCRIPTION:Julian Payne\n\nBody temperature\, weekly sales figures\, manuf
 acturing line speed\, electricity flow\, website clicks. They are all very
  different use cases but beneath the surface they are mathematical cousins
 . Time Series models identify these underlying shapes and patterns and pre
 dict what happens next. And they do it without having seen your data befor
 e\, removing the need for you to train them. Teaming these lightweight mod
 els with Apache Flink® means we can process\, predict\, and spot anomalie
 s at the the source. We'll dive into what Time Series models are and how y
 ou can use them with Apache Flink.
URL:https://sf26.rmoff.net/s/ai-model-serving-for-apache-flink-231
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