Use formulas instead of Power Query for tidy files, with a visible source path and clear parameters that teammates can review ...

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 ...

In financial services, database risk extends beyond IT. It affects delivery, operational resilience, and governance at the ...

Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually understand the data it's supposed to interpret. AtScale has identified the cause of ...

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 ...

AI traffic isn’t collapsing — it’s concentrating. Copilot surges in-workflow, 41% lands on search pages, and Q4 follows ...

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 ...

Ten MarTech trends shaping brand growth in 2026—from generative AI and data unification to privacy-first personalization, ...