Data & AI

Many organizations focus on AI and analytics but overlook the data access layer, leading to hidden costs from inefficient integrations, security risks, and slow access to data. Modern data connectivity helps reduce complexity, improve performance and security, and enables AI and analytics initiatives to deliver value faster. The key takeaway: better data access drives better business outcomes.

When is traditional search enough, and when do you need to upgrade to RAG search for your website?

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.

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