You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...

Memory management can be challenge enough on traditional data sets, but when big data enters the picture, things can slow way, way down. A new programming language announced by MIT this week aims to ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

"Unlike Big Tech companies that collect and monetize user data, we treat privacy as an absolute right that cannot be compromised for profit or political pressure." We follow a simple question ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

It’s that time of year again, when people publish their top-10 or top-20 lists of what to expect in the year ahead. As usual, rather than pile on with another list, I’m limiting my contribution to one ...