A campus laundry forecast was solid last term. After a new dorm opens, Sunday dryer-wait predictions start missing the spike, and live inputs no longer match last term's pattern. The model is already deployed. What should the team do first?
Select an answer to reveal the explanation.
Short Explanation
Think of a weather app that still thinks the new dorm is an empty lot. After go-live, Sunday spikes that no longer match last term is drift, and monitoring is how you catch it. Relabeling matrix cells or treating it as speech-to-text does not restore the forecast.
Full Explanation
After deploy, a change in live inputs or outputs is drift, and monitoring is the stage that is supposed to catch it. Relabeling matrix cells does not restore a Sunday spike. Speech-to-text is a different capability. Going live does not end evaluation or monitoring.