In case you haven't noticed, distributed computing is hard. The problem is that it is becoming increasingly important in the world of enterprise application development.

Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation.

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

Like edge computing, the distributed cloud is a framework that helps bring business data closer to its source.

From searching for alien life to working out cancer's protein structures to seeking cores for orphan and rare diseases, distributed computing programs can put your idle computers to good work.

AI scalability hinges not just on more powerful processors but the seamless integration of advanced networking infrastructure to enable efficient distributed computing.

Distributed computing software uses the downtime of home PCs to solve scientific problems that require massive computing power. It's like volunteer work for bored CPUs.

Distributed computing allowed these researchers to efficiently share the computational load between giant mainframes and individual workstations, even if those machines came from different ...

A distributed network of computers managed by blockchain and smart contracts can create a shared economy where anyone with a computer can borrow idle computing power and make a side income.

He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Insider blog for InfoWorld.