A robust data architecture for AI presents an opportunity for IT leaders to be heroes to their line-of-business counterparts.

Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing ...

High-voltage, higher-order PAM-8 signals are essential to achieve data rates beyond 100 Gb/s, requiring highly linear ...

One of the clearest tests of an organisation’s growth culture lies with its long-term employees. Tenure brings wisdom, but it ...

For the last few years, most of the progress in AI has been tied to size. Bigger models, bigger datasets, bigger everything.

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

True transformation requires an architecture that treats users not as recipients of service but as responsible participants.

The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

Explore how Germany's evolving digital infrastructure—cloud, AI, cybersecurity and 5G—is powering the next wave of online ...

Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run.

Russia’s war on Ukraine has yielded troves of battlefield data, but Kyiv has no efficient way to share it with NATO friends.