Navigating Data Quality in Generative AI

This chapter explores the vital role of data quality in the era of generative AI, discussing the complexities introduced by unstructured data and the necessity of human oversight. It contrasts traditional data practices with emerging challenges, emphasizing the importance of governance to ensure reliable data for effective AI applications. Through engaging metaphors and real-world examples, the speakers highlight the ongoing evolution of data management strategies in modern enterprises.