aiqbench takeAI Products

Dell's expansion of its AI Data Platform introduces a semantic layer and knowledge graph designed to provide agents with trusted, organized enterprise context, reducing token waste on unstructured legacy data. By integrating Nvidia's Nemotron Retriever models for reasoning within customer-owned data centers, the solution aims to transform raw data accessibility into actionable intelligence for specific business domains. This architecture directly addresses the gap between having accessible data and possessing usable, semantically defined information for autonomous agents.

Sources coveringSiliconANGLE, Quantum Zeitgeist, Latent Space, Slack Blog

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Dell’s AI Data Platform gets a knowledge graph for agents and faster Nvidia processing

SiliconANGLEOctober 6, 20264 min read

Dell Technologies Inc. today expanded the Dell AI Data Platform with a semantic layer and a knowledge graph intended to give artificial intelligence agents trusted context from a company’s own data. Dell is also speeding up data processing on Nvidia Corp. graphics chips. The new features are aimed at enterprise data that was never organized […] The post Dell’s AI Data Platform gets a knowledge graph for agents and faster Nvidia processing appeared first on SiliconANGLE.

Dell Technologies Inc. today expanded the Dell AI Data Platform with a semantic layer and a knowledge graph intended to give artificial intelligence agents trusted context from a company’s own data. Dell is also speeding up data processing on Nvidia Corp. graphics chips. The new features are aimed at enterprise data that was never organized with an AI reader in mind. Much of it predates agents entirely. Dell said agents end up burning tokens on…

Excerpt shown under the publisher's RSS terms · 75 words · full text and figures are on the publisher's site

Read at SiliconANGLE ↗Ask about this article