Learn how data sovereignty, local AI and hybrid architecture can help enterprises govern sensitive workloads, control costs ...

The longer-term plan is to train smaller models on each customer’s private engineering data, using feedback from repeated ...

The distinction between AI for SASE and SASE for AI belongs in every request for proposal. Zscaler’s ZAgentOpens a new window ...

ai_decide is a new Databricks AI Function that makes fast decisions directly on your data. It takes unstructured text and ...

As agentic applications become more autonomous, enterprises need shared infrastructure for context, model, and tool access; ...

A 16-year-old security researcher named Faav found an authentication flaw in Microsoft’s Titan analytics service that allowed ...

Stanford and Nvidia's open CLM-8B scores an agent's cached actions instead of generating tokens, cutting latency on tool ...

StreamAI is designed to help organizations adopt AI without locking their observability strategy to one model, provider, or closed platform. StreamAI will be available soon. Customers interested in ...

See how InstaDeep uses agentic AI, Dell AI Factory with NVIDIA and accelerated infrastructure to speed PCB design and move AI ...

Dynamic model routing mirrors the shift that took place years ago in software-defined wide-area networking, or SD-WAN. As ...

A P2P architecture starts with a defined transaction lifecycle. The backend should record whether a payment has been initiated, accepted for processing, completed, rejected, returned, or reversed. The ...

Bringing enterprise AI under control. How a unified tool can maximize AI governance and security while minimizing token usage ...