#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI
DataFramed
Evolving Data State in Relation to Generative AI Products
Data quality has been a longstanding issue in the industry, with a recent focus on generative AI products. Despite the growing demand for generative AI, only a small percentage of data leaders feel their data is ready for it. The data state has evolved significantly in processing, transforming, and storing data, but data management practices have not kept pace. Manual approaches still dominate data quality management, although they are seen as just a starting point. The current challenge lies in reconciling old data quality issues with new complexities presented by generative AI products.
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