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Differences Between Shipping Classic Software and Operating ML Models with a Lead MLOps Engineer at TMNL Simon Stiebellehner, and neptune.ai CEO Piotr Niedzwiedz

ML Platform Podcast

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Data Drift Monitoring - Data Monitoring

The data drift concept is in this, is in this picture. So kind of tracking and acting on results of those tests, it sounds like that. It's tracking and surfacing them and alluring them essentially. And then you would get this classical alert via Slack or whatever, say, in your metric A has exceeded threshold X.

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