How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software to system architecture to chip design.

Overall, I predict a shift from systems that merely process data to ones that genuinely understand context, ushering in an ...

Building the Control Plane for ERP, Finance, and SaaS AI didn’t come with a rollout plan; it crept in unnoticed. Someone turned on a copilot in a finance or CRM application, an IT team tested an agent ...

Cloudera AI Inference is powered by Nvidia technology on premises and the company says that this means organisations can deploy and scale any AI model, including the latest Nvidia Nemotron open models ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

You don’t need to speak Kubernetes or serverless to see the implication: If your cloud architecture is chaotic and disjointed, your AI strategy is fragile. In 2026, that fragility will show up as lost ...

Carousell hit scaling limits in cloud BI. Separating workloads and moving heavy processing upstream restored dashboard speed and stability.

Uncover the meaning of "clog" in cryptocurrency, referring to network congestion that hampers transaction efficiency.

Metal prices slid on Friday the 13th, but a handful of small-cap ressies kept their cool with solid drill hits ... Read More ...