Edge AI: Intelligence at the Edge for Real-Time Insights
Edge AI: Intelligence at the Edge for Real-Time Insights Edge AI brings machine intelligence closer to data sources—on devices, gateways, or local servers. By running models at the edge, organizations gain real-time insights without waiting for cloud round trips. This reduces latency, lowers bandwidth needs, and keeps operations running when connectivity is imperfect. For many apps, edge AI makes decisions feel immediate, from factory sensors to in-store cameras. How does it work? Lightweight models fit on small devices. Techniques such as quantization and pruning shrink size, while hardware accelerators speed up inference. Optimized runtimes load and run models efficiently. The result is fast tasks like counting items, spotting anomalies, or classifying scenes, with data staying close to its source. ...