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#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI
DataFramed
Navigating Data Quality Challenges and Impact on Organizational Success
The chapter delves into the complexities of scaling data quality with generative AI, highlighting the significance of technological advancements and human collaboration in policymaking. It emphasizes aligning data initiatives with business value, showcasing the repercussions of data quality issues on trust, revenue costs, and team efficiency through real-world examples like Google and airlines.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode