#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI
DataFramed
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Navigating Data Quality in Generative AI
This chapter delves into the challenges of managing data quality in the context of generative AI, focusing on the necessity for human collaboration and effective policy development. It emphasizes critical metrics for assessing data quality, underscoring their importance in driving business success and ensuring trustworthiness in data management.
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