Data Quality = Quality AI // AIQCON Panel
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Navigating Data Quality in AI
This chapter explores the critical role of data quality in artificial intelligence, highlighting the differences between predictive and generative AI. The speakers outline the challenges organizations face with both structured and unstructured data, emphasizing proactive measures in data management. They also discuss the importance of metadata and collaboration in enhancing data understanding and ensuring effective AI implementations.
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