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Enterprises face a recurring challenge when deploying AI: the lack of high-quality data. Across industries, data is often scarce, imbalanced, or biased. Fraud detection teams may have too few fraudulent cases to train reliable models, healthcare institutions face privacy restrictions that limit access to patient records, and retailers lack diverse customer journey data for effective
