Retraining means training a model again on more recent data to compensate for drift and regain good performance. It can be scheduled at regular intervals or triggered by a monitoring alert. The new model is validated and compared with the current one before replacing it.
Example
PSI alert above threshold, then retraining on the last 12 months, testing, and promotion of the new version if the metrics are better.