Cloud-based IIoT servers are receiving too much data, far too frequently, from an increasing number of edge devices. We present a complementary pair of AI solutions for reducing the data sent from the sensor and for efficiently processing it when it reaches the cloud server. The AI deployed at the sensor intelligently extracts insights from raw data with the help of inexpensive microcontrollers while operating on µWs of battery power. The server-side AI translates the insights received from a multitude of edge devices into decisions rapidly while employing a minimum of resources. The result is a low-latency, high-throughput cloud-based IIoT system.