Edge AI refers to running AI models directly on local devices — smartphones, sensors, cameras, or IoT gateways — instead of sending data to a distant cloud server. This reduces latency, saves bandwidth, and preserves privacy because data never leaves the device. A Moroccan factory can run defect-detection models on cameras at the production line, getting instant results without relying on an internet connection. Quantized and distilled models make edge deployment practical.