top | item 32511176

(no title)

mendeza | 3 years ago

For anomaly detection, does your team have to worry about concept drift and data distribution shifts? If so, how do you combat that?

discuss

order

michaelgygli|3 years ago

Great question. Yes, that's a big topic for us. We closely monitor production metrics to detect things like input changes and output drift. This allows us to automatically detect if something changes, so that we can trigger retraining and redeployment.

gyglim|3 years ago

We built a lot of this in-house though, as we didn't find suitable existing tooling for that