What is Edge AI?

Edge AI refers to the deployment of machine learning (ML) models directly on devices near the data source, enabling real-time data processing and decision-making without relying on cloud infrastructure. This approach, often synonymous with on-device AI, offers significant benefits such as reduced bandwidth usage, enhanced security, real-time performance, and scalability. Applications of edge AI include autonomous vehicles, retail robotics, manufacturing automation, and medical monitoring, where local processing is crucial for immediate responsiveness and data security. As device computing power and model efficiency improve, edge AI is expected to expand in various sectors, providing a more efficient and secure alternative to traditional cloud-based AI solutions. However, enterprises face challenges in implementing edge AI due to skill gaps and resource constraints, which solutions like Esper's Pando Edge AI Solution Accelerator aim to address by offering accelerated deployment and end-to-end support.