How to Use Edge Orchestrators to Deploy Artificial Intelligence at Scale

Many industries are increasingly demanding greater speed and autonomy in decision-making to adapt to increasingly volatile markets. In addition, industrial devices generate an increasing amount of data from more diverse, geographically dispersed devices and with greater frequency. This need to capture more data more frequently and make decisions on the fly has led to an increase in the computing capacity required near the place where the data is generated, i.e., the Edge and the development of distributed Artificial Intelligence, also called Intelligence at the Edge or Edge AI. Edge AI's main advantages are better latencies, optimization of communication bandwidth, reduction of Cloud service costs, and an improved level of security, which is very important in specific critical industries. For all these reasons, the industrial sector is adopting Edge Computing.