Distributed cloud, PETs, and AI enhance secure, private data processing. This improves collaboration, security, and regulatory compliance with marketing, finance, and healthcare applications.

Enterprises need to support edge-based computing systems, including IoT and other specialized processing that have to occur near the data source. This means that while we spent the past several ...

Now you can process data-hungry and latency-sensitive AI, IoT, productivity and other applications at the edge rather than sending all the data to a central cloud location.

Whether deployed in constrained environments, such as IoT sensors, or cloud-scale applications, Hazelcast Jet ingests, categorizes and processes vast amounts of data with ultra-low latency to ...

2021 will showcase the real power of distributed computing, with significant processing taking place not in centralised servers in the cloud, but on the “edge” of the network, where much of ...

Editor's note: Katherine Dupree is RIoT Marketing Specialist.RIoT is a rapidly growing internet of things users group based in Raleigh. RALEIGH - The cloud dominates business and analytics on the ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. "The ...

Web 3.0 will rely on decentralized architecture and distributed computing concepts to speed up data flow which is critical for data-heavy applications, as well as to make it more intelligent with ...

Through a National Science Foundation CAREER award of approximately $490,000, Liting Hu —assistant professor in the School of Computing & Information Sciences at the College of Engineering & Computing ...