What are the main use cases and advantages of edge AI in industry?
Edge AI is used to run artificial intelligence models directly on local devices without constant reliance on the cloud. In industrial settings, it enables use cases such as predictive maintenance on machinery, real-time anomaly detection, computer vision for quality control, and process automation in low-connectivity environments. Its main advantages include reduced latency, improved data privacy, lower transmission costs, and greater system resilience. However, it is limited by the computational power and energy constraints of embedded devices.