Edge computing for industrial AIoT applications

摘要

Industrial Internet of Things (IIoT) applications are generating more data than ever before. In many industrial applications, especially highly-distributed systems located in remote areas, sending large amounts of raw data to a central server regularly might not be possible. To reduce latency, reduce data communication and storage costs while increasing network availability, businesses are moving artificial intelligence (AI) and machine learning (ML) to the edge for real-time decisionmaking and actions in the field. These applications that deploy AI capabilities on IoT infrastructures are called the Artificial Intelligence of Things (AIoT). Although AI models still training in the cloud, data collection and inferencing can be performed in the field by deploying trained AI models on edge computers. Get started by choosing the right edge computer for an industrial AIoT application.