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Navigating Data Quality and Interoperability
This chapter explores the vital concepts of data interoperability and quality within the data ecosystem, especially in relation to Generative AI. It discusses the challenges of ensuring data accuracy in unstructured formats and the importance of accountability as data teams bridge the gap between machine learning and data management.