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Measuring-The-Soul-of-Data

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A narrative and technical exploration of data authenticity through the four pillars of synthetic data realism, Fidelity, Coverage, Privacy, and Utility. This thought-leadership piece combines storytelling, mathematics, and code to explain how these metrics define the ethical and functional “soul” of data in AI systems.

Creat2025-11-11T19:21:17
Update2025-11-13T16:25:43
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