A new open standard for structured knowledge is in public consultation, actively seeking implementation feedback and ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

While the component supply crunch remains the headline, this also underscores that AI infrastructure architectures need to adapt.

Microsoft Threat Intelligence presents a comprehensive analysis of The Gentlemen, a Go-based ransomware deployed by ...

At its in-house trade fair, Dell presents new AI integrations, the AI Data Platform, and Project Lightning to bring AI closer ...

Traditional job scheduling relied heavily on time-based execution, with cron jobs and hourly synchronisation being common in ...

DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting ...

Enterprise database infrastructure is undergoing its most consequential redesign in decades, as agentic AI workloads demand a level of elasticity that legacy architectures were never built to provide.

AI agents run on file systems using standard tools to navigate directories and read file paths. The challenge, however, is that there is a lot of enterprise data in object storage systems, notably ...

Choosing an operating system in 2026 requires more thought than ever. Windows, macOS, Linux, and ChromeOS each offer unique strengths in hardware compatibility, software support, and user experience.

With the rise in global industries digitizing their activities, the performance and reliability of data systems underpinning their activities have become the determining factors in business continuity ...