Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...

Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

Surescripts’ Meg Murphy, co-chair of Sequoia Project workgroup, says document maps out what barriers exist and how data ...

AtScale, the leading provider of universal semantic layer solutions, today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Enterprises can turn copilot demos into production tools by investing in clean data, unified access, and ongoing evaluation.

The 2026-2027 update refreshes Black Book's baseline readiness analysis and details why openEHR's global momentum is increasingly tied to AI-usable longitudinal clinical records, digital sovereignty, ...

By 2026, construction leaders will move beyond digital transformation toward data-driven operating models, adaptive job sites ...

Entrepreneurs entering healthcare often spot inefficiencies and launch companies to solve them. Whether it’s optimizing transitions of care, simplifying billing, or empowering home health teams, most ...

We’ve come a long way in sharing data across the healthcare industry. The HITECH Act’s Meaningful Use program drove a wave of digital adoption, moving us from isolated systems to widespread use of ...