Why building AI applications still means building infrastructure-first

Building strong, governed data infrastructure enables AI to scale securely, reliably, and efficiently in production.

Why firms are quietly rehiring staff AI was supposed to replace

Human oversight makes enterprise AI reliable and safe

The hidden operational costs of agentic AI

Agentic AI shifts enterprise infrastructure toward continuous, efficient, autonomous compute at scale.

The companies cutting humans for AI are about to learn an expensive lesson

AI makes costly mistakes, but combining it with humans and software can help avoid them.

Your security team doesn’t know about half its users

Your security model was built for humans not agents.

20% of European Bank jobs at risk due to AI replacement, Morgan Stanley says

400,000 European bankers could lose their jobs by the start of the next decade with AI adoption boosting productivity across the board.

Why enterprise AI stalls and what executives must do differently

AI itself is not the limiting factor. The constraint is whether leadership is willing to build the organizational capability required to support it.

Closing the security blind spots that are a prime entry point for attacks

What if the biggest cyber risk isn’t the feared attack, but a hidden, unknown vulnerability?

10 free Microsoft Build sessions you should absolutely attend to see AI’s future

Microsoft Build 2026 runs June 2–3 in San Francisco with 90+ free online sessions on AI agents, custom models, GitHub Copilot, and Windows AI.

Quote of the day by AMD CEO Lisa Su: “The age of traditional computing is dead” — marking the start of the heterogeneous computing era

A decade before GPUs took center stage in the AI buildout, Su projected a future in which conventional processors would no longer reign supreme