Data & AI

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Do You Actually Need RAG, or Just Better Search?
When is traditional search enough, and when do you need to upgrade to RAG search for your website?
From FAIR Science to FAIR Manufacturing
When it comes to FAIR life sciences data, keeping meaning and detail attached to pharmaceutical data supports trusted reuse across R&D, technology transfer and CDMO operations. Semantic harmonization can preserve source detail, add semantic context and relate different worlds without flattening them. Progress Data Platform helps connect complex data, documents and domain knowledge so information remains findable, reusable and trustworthy across teams, systems and partners.
Why Trustworthy AI Needs a Semantic Layer
At the Progress Data Platform Summit, Progress Software Fellow Ramon Navarro Bosch argued that a confident AI answer is not a trustworthy one. His blueprint combines LLMs with an enterprise semantic layer of ontologies, taxonomies and a validated knowledge graph, so every fact behind an answer can be traced, checked and reproduced
Progress Supporting Trusted AI and Content Discovery Through IPTC Membership
Membership in the International Press Telecommunications Council, or IPTC, allows organizations to better understand how metadata, semantic context and governance can support trustworthy content discovery and responsible AI. Whether you're modernizing content archives, improving discoverability, enriching metadata or building trusted AI workflows for publishing, Progress Data Platform can help connect content, context and governance at scale.

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