AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting ...

We look at where a customer data platform sits alongside other technologies that offer features to boost customer experience ...

For tech leaders navigating Industry 4.0, real-time inventory is emerging as a core driver of agility, automation and ...

In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete problem, a ...

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

With the ever-increasing volume of data, alternative strategies are required to divide big data into statistically consistent data blocks that can be used directly as representative samples of the ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.