AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

In a lively and insight-packed session at the 'How To Take Unstructured Data from Chaos to Clarity' Summit today, data expert ...

Compute, power, cooling, and floor space are all being squeezed, and technology leaders must rethink the data center from the silicon upwards.

Safe Software unveils new feature, enabling FME platform users to create secure, AI-ready APIs directly from integration workflows, without the need for additional toolsSurrey, BC, May 06, 2025 ...

Data Modeling. Data Modeling and Database Design and Development – including popular approaches such as Agile and Waterfall design - provide the basis for the Visualization, and Management of, ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. It’s 4:00 a.m., and a sharp, unsettling cry from ...

A fresh approach to data management, data virtualization, allows a number of virtual machines (VMs) to access, view, and manipulate data without needing to gain technical details about the data, such ...

At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion ...

Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...

China launches 10 data zones to boost its $278B industry, aiming to double transactions and drive global AI growth through 2026 and beyond. Learn about extract, transform, load, including the ...