The customer wants to launch an AI project but discovers: data is fragmented, inconsistent, has gaps, and lacks unified reference data. Attempts to train a model produce garbage results. Resolved through MDM maturity and data governance BEFORE AI: data quality assessment, unified reference data, master data cleansing.
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