The term "edge AI" refers to deploying artificial intelligence algorithms at the edge of a network, closer to data sources, rather than relying on centralized data centers. This approach enhances processing speed and reduces latency, making it particularly valuable for applications requiring real-time decision-making, such as in IoT devices. Edge AI minimizes bandwidth usage and ensures data privacy by limiting data transmission to central servers. It leverages local processing power, allowing for efficient operation even in remote or offline environments, thereby improving overall responsiveness and efficiency.