Engage Machine Learning for detecting anomalous behaviors of things
Design and Architecture This recipe explains how one can integrate IBM® Predictive Analytics service with IBM Watson IoT Platform to detect a temperature change before it hits the danger zone. Similar approach can be taken to apply other type of analytics. The following diagram shows various components involved in the integration. A device with, a temperature sensor, keeps publishing the events in the IBM Watson IoT Platform. In absence of an actual device, we have provided a simulator which keep pumping in the events. Multiple receivers, running in the Apache Spark service, subscribe to these events and make ReST calls to the SPSS model deployed in the Predictive Analysis service. The SPSS stream is built on top of the SPSS streaming time series expert model. Based on the input…
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Engage Machine Learning for detecting anomalous behaviors of things
