Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

Reviewing progress, lessons learned, and outstanding challenges in cybersecurity two decades after the landmark conference.

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

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

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

At the core of this transformation is Dheeraj Panchagnula, a global intelligent automation and GenAI leader recognized for ...

Chandrashekar Pandugula is a Senior Data Engineer with over nine years of experience, specializing in Cloud Computing, ...

Learn about Distributed Ledger Technology (DLT), the decentralized network architecture that enhances data security and ...

Diaconu: As previously mentioned, the challenges of distributed systems, and the broad science around the techniques and mechanisms used to build them, are now well-researched.

The challenge is not how you succeed with distributed cloud computing, but how you prepare in the first place.

The reason is that it will cause a distributed computing challenge that needs to be solved. Currently, there are competing switching technologies in the space trying to solve this issue.