Edge AI and private 5G are made for each other
Briefly

Edge AI and private 5G are made for each other
"When NTT Data talks about edge, our team likes to think about what's inside of our customers' premises, what's inside their OT environments. This proximity-focused definition emphasizes placing compute resources where they can make the biggest impact, directly on the factory floor."
"We've seen workloads at the edge require more and more real time data that private 5G is very good at delivering. The deterministic latency of 5G over 4G LTE makes it particularly valuable for time series data processing, which is central to physical AI applications."
"Cargill has deployed private 5G networks across more than 50 manufacturing facilities, with plans to expand further this year. These networks enable everything from digitization initiatives to autonomous robots that perform routine inspection tasks."
Edge AI and private 5G are becoming vital for manufacturers aiming for operational efficiency and real-time insights. NTT Data emphasizes a focused definition of edge computing, placing resources directly on factory floors. This includes various devices tailored to specific use cases. The relationship between edge AI and private 5G is symbiotic, with private 5G providing secure, low-latency connectivity essential for real-time data processing. Companies like Cargill have successfully implemented private 5G across multiple facilities, enhancing digitization and automation efforts.
Read at Techzine Global
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