Edge computing places compute and storage near the data source, for example inside the plant, to handle protocols, buffering, filtering and local inference before data moves to the cloud.
Edge computing processes data close to where it begins, such as camera and sensor decisions on a factory floor, while selected data can go to Azure later. · Azure Local - Simply Explained
Cloud strategies often focus on scalability, cost optimization, and centralized services, but many organizations overlook one critical factor: latency. In this episode of M365 FM, Mirko Peters explores why network latency can become a major barrier to…
Most AI talk targets desk workers, yet the technicians, installers and inspectors in the field still drown in paperwork with little connectivity. Microsoft MVP Fergus Kidd, co-founder and CTO of FieldPal AI, shows builders and IT leaders how agentic AI on…
Some workloads cannot leave the factory, hospital or store, yet running them on isolated local servers splits teams and tools. This Simply Explained episode helps IT pros and architects understand what Azure Local is, how it differs from Azure Arc, and when…
Processing data close to where it begins, so cameras, sensors and local compute near the factory floor decide without waiting on a distant cloud region, while selected data is sent to Azure later. · From the episode: Azure Local - Simply Explained
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