Data & AI

This blog argues that the success of a retrieval-augmented generation (RAG) system depends more on data quality, metadata and governance than on model tuning or pipeline optimization. Without clear metadata, document ownership, permissions and freshness controls, AI systems can retrieve outdated or incorrect information, leading to hallucinations. Ultimately, trustworthy AI requires well-structured, governed data, not just more advanced models.

How the Semaphore platform enhances Microsoft Purview with semantic metadata, improving classification accuracy, scalability and governance readiness for enterprise AI and compliance.

Traditional search returns links. AI search delivers answers. Learn how organizations are transforming site search into a smarter knowledge experience.

Video has become a critical tool for troubleshooting, learning and getting work done. Learn how AI video indexing in Progress Agentic RAG contributes to enterprise AI strategy by unlocking knowledge stored in recordings, providing verifiable evidence for decisions, improving cross-team knowledge sharing and supporting governance.