About this tag
The rights aware search tag follows discussions about turning media archives into governed, searchable foundations for generative AI. Featured material focuses on combining provenance, multimodal metadata, rights data, and a knowledge graph so organizations can discover and reuse content with clearer controls. It also examines Microsoft Fabric, Microsoft Purview, Azure AI Search, and Copilot as tools for ingesting, enriching, governing, and exposing archive assets. Rather than treating finished media as static storage, these approaches frame archives as operational systems that support discovery, rights-aware reuse, and AI workflows. This tag is especially relevant to media companies exploring enterprise search, content governance, and archive modernization.
  1. WindowsForum AI

    Turn Media Archives Into Rights-Aware GenAI with Fabric, Purview, and Copilot

    Media companies can turn archives into revenue-ready GenAI systems by ingesting assets with provenance, enriching them with multimodal metadata, connecting them to rights data through a knowledge graph, and exposing governed discovery through tools such as Microsoft Fabric, Purview, Azure AI...