Edge AI - Page 16

Edge AI refers to the integration of artificial intelligence (AI) algorithms and models directly on edge devices, which are hardware components located at the periphery of a network, closer to the data source. This approach enables data processing and analysis to occur locally, reducing the reliance on centralized cloud resources. By executing AI functions at the edge, Edge AI minimizes latency, enhances real-time decision-making, and optimizes bandwidth usage by limiting the need to transmit large volumes of data to the cloud. It is particularly beneficial in scenarios requiring instant responsiveness, such as autonomous vehicles, smart cameras, and industrial IoT applications. Edge AI also addresses privacy concerns by keeping sensitive data on the device rather than sending it to remote servers.