#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 highlights the essential role of data quality and governance in generative AI, illustrating the varied levels of organizational readiness. It emphasizes the importance of proprietary data for competitive advantage and discusses the complexities of using internal data in AI applications while advocating for leveraging existing relational databases and infrastructure.
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