As organisations accelerate the adoption of tools such as Microsoft Copilot and AI agents, a consistent challenge is emerging: AI outputs are only as trustworthy as the knowledge they are built on. In ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

A new AWS Forward Deployed Engineering organization will embed thousands of experts with customers to co-develop and deploy ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.

Abstract: Existing deep embedding clustering methods fail to sufficiently utilize the available off-the-shelf information from feature embeddings and cluster assignments, limiting their performance.

Sivasubramanian’s core point is that agents aren’t a feature toggle but an architectural choice. The advantage goes to organizations that design for compounding momentum across work, security, ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...