Data sharing becomes more challenging when AI and multi-die assemblies are involved.

Exploring the implementation of a data classification model in order to enable a data-driven approach to managing risk and cost.

Managing IT equipment lifecycles presents a constant challenge for schools and businesses. Beyond the initial purchase, ...

Most CISOs recognize the improved security posture zero trust will bring. But cultural and technological changes make for an ...

A recent study conducted at the University of Georgia, (Athens, Georgia) presented a validated method for quantifying 18 ...

Warren pointed out continuous mixing systems constantly monitor ingredient addition, dough temperature, work input and other ...

With a super efficient and powerful processor next up in the line for getting the best gaming laptop is adequate or high RAM ...

Kale’s GALAXY system is deployed at over 120 international airport cargo stations, and that list is about to include one more ...

Online shopping is growing fast. By 2025, experts predict that 26% of all retail sales will happen online. This big shift ...

Many organizations are investing in AI to improve efficiency and decision-making, yet they struggle to see meaningful impact. The problem? Their underlying business processes weren’t designed for AI.

Hari Sonnenahalli is a thought leader and seasoned enterprise architect at NTT Data Business Solutions (NDBS).

A new study offers insight into what is happening in our brains when our working memory must use its limited resources to remember multiple things.