#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI
DataFramed
Navigating Data Quality in Generative AI
This chapter explores the ongoing challenges of data quality within the realm of generative AI, highlighting the shift in expectations for what constitutes 'good' data. It emphasizes a structured, three-step framework for enhancing data quality through awareness, collaboration, and cultural shifts within organizations. Additionally, the chapter addresses the significance of both leadership endorsement and stakeholder involvement in fostering better data practices while examining the tangible impact of poor data on business operations.
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