By combining these platforms, organizations can not only harness the value of edge-generated unstructured data but also achieve the full potential of AI-driven processes.

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.

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 ...

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

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 ...

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

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 ...

BrainChip’s Success in 2020 Advances Fields of On-Chip Learning and Ultra-Low Power Edge AIDevelopment progress of Akida Neural Processor technology, industry partnerships and leadership ...

Thai B. Grimm Power Pcl and Singaporean digital infrastructure firm Digital Edge will invest $1 billion in a 100-megawatt data centre in Thailand, the companies said in a statement on Monday.