“Model drifts are more common when models in high-stakes domains, such as air quality sensing or ultrasound scanning due to lack of curated datasets.” When AI models are applied in high-stakes domains like health and industrial automation, data quality suddenly becomes a significant aspect of the whole pipeline. Models in the real world are prone…

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