To refresh the model on current data so its accuracy keeps: What is the main reason retraining is included on
Scheduled retraining keeps the model accurate as real-world data and conditions change over time.
The question
An operations plan for a deployed AI system establishes a regular schedule for maintenance, updates, and retraining. What is the main reason retraining is included on that schedule?
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- To reset every user account and its permissions so access entitlements are recertified on a fixed cadence.Plausible-sounding but account recertification is an access process, not the purpose of model retraining.
- To refresh the model on current data so its accuracy keeps pace with changing real-world conditions. ✓Scheduled retraining refreshes the model on current data to counter drift and sustain accuracy.
- To rewrite the application's user interface so the product's visual design stays modern and appealing.Plausible-sounding but interface refreshes are unrelated to why a model is periodically retrained.
- To archive old prediction logs to cold storage so the production database footprint stays small over time.Plausible-sounding but log archival is data housekeeping, not the reason retraining is scheduled.
The trap
Associating retraining with unrelated IT housekeeping instead of refreshing the model against drift. How to remember it
Scheduled retraining keeps the model accurate as real-world data and conditions change over time.
How many of these would you get right?
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