Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs.

Ten years ago, executives could delegate the details. Set vision, approve budgets, review dashboards. That world is gone.

Lino Tadros discusses how Microsoft's Azure AI Foundry enables developers to build and deploy intelligent, secure, and ...

Humans provide contextual feedback that makes AI systems smarter over time. Pure automation hits performance ceilings quickly ...

Getting seminal first-person shooter Doom running on minimal or bizarre hardware is a sport among hackers, but the fact that Doom runs in fast, portable C makes it possible. What if Doom were instead ...

CedarDB pushed to the limit in improbable gaming experiment The world has moved on from making Doom run on increasingly ridiculous devices. Now it's all about porting it to the most inappropriate of ...

The company released GPT-5-Codex, a variant of GPT-5 that is optimized for Codex, OpenAI’s AI coding agent. It was trained on ...

Getting started in computer science can feel like trying to learn a new language, but don’t worry, it’s totally doable. Think of this section as your friendly guide to the absolute must-knows. We’re ...

There are numerous reasons why you might want to stress test your laptop for music production. You might want to understand ...