There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

AI is uncovering decades-old software bugs at scale, forcing a race to patch vulnerabilities before attackers gain access to ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Microsoft’s new Azure database savings plans promise more flexible, cross-service cost reductions than traditional reservations, giving IT teams another lever to manage rising cloud database spend ...

YouTube expanded AI likeness detection to celebrities, but the tool still has limits. Here’s how it works, what it catches, and what it misses.

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Legacy web forms used for clinical trial recruitment, adverse event reporting, laboratory data collection, and regulatory ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

Commvault Systems Inc. is deepening its integration with Google LLC’s cloud platform in order to help bolster the defenses of ...

UK managed cloud provider BlackBox Hosting explains why it chose Everpure's all-flash storage to underpin a sovereign cloud ...