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Army Sustainment Enterprise's Delayed Approach to Data Modernization
This article examines the Army sustainment enterprise's challenges in implementing artificial intelligence for predictive logistics. It identifies five critical areas requiring improvement: data collection, storage, transfer, analysis, and visualization, while highlighting the need for standardization across units and echelons to enable effective predictive capabilities and decision-making.