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 ...

Today, many enterprises are discovering that their existing data architectures simply weren't designed for the demands of AI ...

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.

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

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

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

Netflix engineers presented their architecture for a centralized data-deletion platform at QCon San Francisco, addressing a ...