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

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.

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

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

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

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

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

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.

From skills shortages to cybersecurity threats and 'the Frankencloud', companies who have invested heavily in the cloud in 2022 face challenges in the year ahead.

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.