Filtering, aggregating and modeling data at the edge reduces latency, lowers cloud ingest and storage cost, and keeps local operations running when the internet connection drops. Scenarios that need real-time decisions (quality stops, safety) often require edge processing.
The edge complements rather than replaces the cloud: raw data is conditioned at the edge and only the valuable, contextual part is sent to the cloud.
