IoT generates massive volumes of sensor data that often need real-time decisions made locally, which is exactly what edge computing is designed for. Sending every reading back to a centralized cloud for processing is slow, expensive, and unreliable when network connections drop, so processing at the edge becomes the only practical model at scale. The combination unlocks use cases that would not be viable on cloud-only architectures.
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