Alation announced that its Data Products Marketplace now includes Semantic Model Mastering, a new capability that lets enterprises catalog semantic models from any platform, govern them as data ...

As enterprises increasingly adopt sophisticated agentic workflows, ensuring these are powered by high-reasoning, consistent intelligence reflective of strong semantic boundaries is critical. The ...

BOSTON--(BUSINESS WIRE)--AtScale, a semantic layer technology pioneer, announced the open-source release of the Semantic Modeling Language (SML), a universal standard designed to promote ...

The meaning of language is represented in regions of the cerebral cortex collectively known as the ‘semantic system’. However, little of the semantic system has been mapped comprehensively, and the ...

With Semantic View Autopilot, organizations including eSentire, HiBob, Simon AI, and VTS can ensure that AI agents operate on the same trusted business metrics, while cutting semantic model creation ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax. For two decades, enterprise transformation has followed a familiar sequence: ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...

Microsoft Fabric will phase out Default Semantic Models by the end of December 2025. Beginning August 8, 2025, new warehouses, lakehouses, SQL databases and mirrored databases will no longer ...