The meaning layer acts as a bridge between raw data and human context, enriching information with definitions, relationships, and business logic. It translates complex technical structures into clear, actionable insights. Used in data management and AI systems, this semantic framework empowers analysts, data scientists, and business leaders to query information intuitively, ensuring accuracy, consistency, and faster, more confident decision-making across the enterprise.
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