Drift is the change over time in the data or behavior of a system, which degrades its results even though the code has not changed. It can come from the inputs (data drift), from the input-output relationship, or from the supplied model, and is detected through regular monitoring.
Example
Users' requests gradually cover new topics that were absent from the original data.