What is a Model Drift?
When an AI model's performance degrades as real-world data changes.
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Understanding Model Drift
Model drift happens when the data a model sees in production changes over time, reducing accuracy. In marketing, this can show up as declining prediction quality or mismatched audience segmentation.
Regular monitoring and retraining are needed to keep models aligned with current behavior.
Frequently Asked Questions
What is a Model Drift?
When an AI model's performance degrades as real-world data changes.
Model drift happens when the data a model sees in production changes over time, reducing accuracy. In marketing, this can show up as declining prediction quality or mismatched audience segmentation.
Why is Model Drift important?
Unnoticed drift leads to poor decisions and wasted spend. Monitoring drift keeps AI systems reliable and safe to scale.