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 to many vulnerabilities that go undetected in a controlled environment.

Read more: https://analyticsindiamag.com/its-high-time-ml-community-looked-into-effects-of-data-cascades/

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