Fixing ‘concept drift’: Retraining AI systems to deliver accurate insights at the edge

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When results from artificial intelligence systems don’t align with what’s expected, data scientists must identify the root causes of concept drift and retrain the algorithms to ensure the systems can be trusted.

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