Filtering, aggregation, and pre-processing of raw data, real-time analytics on streaming inputs, machine learning inference on locally trained models, and immediate response logic for safety or operational systems are all natural fits. Heavy training, long-term storage, and cross-site analytics typically belong further upstream. The simplest rule is: process at the edge what cannot wait, and send the rest where compute is cheaper.
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