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Enterprise AI Governance in Manufacturing: Standardizing Data, Approvals, and Forecasting Logic

Manufacturers do not usually fail with AI because models are weak. They fail because data definitions vary by plant, approvals are inconsistent, and forecasting logic changes across teams without control. This article explains how enterprise AI governance creates a reliable operating model for AI-powered ERP, from master data and workflow orchestration to model evaluation, human oversight, and cloud-native architecture.