This solution overview outlines how organizations can automatically extract and enrich metadata within content repositories using AI-driven semantic analysis. It highlights challenges with manual tagging, inconsistent metadata, and limited searchability. OpenText’s enrichment solution uses workshops, custom taxonomies, machine learning, and automated crawling to add semantic tags directly into source repositories. Benefits include improved findability, compliance alignment, process efficiency, and readiness for AI and analytics initiatives. A customer example shows significant improvements in tagging quality and content aggregation.

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