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.

Additionally, immersive visualization interfaces allow field personnel to “see” invisible grid parameters through edge-processed data. These innovations can improve operational efficiency and ...

NOAA, USDA and other agencies that collect mass amounts of data in the field rely on edge computing for fast analysis.

Edge-to-cloud solutions running AI workloads at the edge help address this demand. Placing compute power at the network edge, close to the data creation point, makes a vital difference for ...

Edge computing has typically involved a lot of short-term fixes, creating a gap between the information you need to make the right decisions and what’s available. To effectively manage power at the ...

Edge computing is revolutionizing data processing by bringing computation closer to the source, enabling real-time decision-making.

Edge computing is a growing trend amongst oil and gas companies as they strive to gain value from the huge volumes of data they collect from their operations ...

The future of edge-deployed large language models The large-scale deployment of LLMs on edge devices is not a question of if, but rather a question of when it happens. This will enable smarter, more ...

Rather than 30% to 50% improvements in power/performance, the numbers are shrinking to less than 20%, and that’s using new materials and architectures. One solution is less movement of the data, which ...

The cloud is a popular destination for Internet of Things storage, but it doesn’t work in every use case. What’s the best way to develop your edge IoT storage strategy?