Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...

What can we begin to expect in terms of types of cloud services, including the trends for today and tomorrow? To best understand the kinds of services available in the cloud, readers should have ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

Almost every business is digital, but market leaders are embracing digital acceleration by fast-tracking their ability to put data into action. Technologies such as cloud computing, AI, and 5G are at ...

The World Meteorological Organization's (WMO) recognizes ten basic cloud types. Ranging from cirrus to nimbostratus to our favorite here in gray and rainy Oregon, plain ol' stratus, these clouds come ...

The energy industry is undergoing a significant transformation, driven by advancements in digital technology and the ever-growing need for real-time data analytics. As energy companies look to ...

As a subset of distributed computing, edge computing isn’t new, but it exposes an opportunity to distribute latency-sensitive application resources more optimally. Every single tech development these ...

Ditto, a company that’s setting out to bring “resilient” connectivity to edge devices, has raised $82 million in a Series B round of funding at a post-money valuation of $462 million, more than double ...

Our society is continuing to adopt more connectivity in products and solutions, and these systems are expanding the cloud and IoT in leaps and bounds. Edge computing, created to address bandwidth and ...

Amidst the rapid surge in demand for AI servers driven by the AI boom, edge computing has emerged as the new focal point in the market landscape. Canada-based Green Edge Computing Corp (GECCO), ...

Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future. Historically, large language models (LLMs) have ...