How often does an AI model need to be updated or retrained?
How often an AI model needs to be retrained depends on the specific use case. It does not need to be retrained regularly just because time has passed. What matters is whether what the AI is predicting has changed.
A simple example: an AI for recognizing handwritten digits can work reliably for years. The digits 0 through 9 do not change, and people continue to write them in similar ways. An AI model does not forget. It stays as good as it was at training time.
It is different for topics like prices or demand. When prices change significantly or customers buy differently than before, the old examples no longer reflect the current situation. Then the model needs to be trained on new examples so it can make accurate predictions again.
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