TIBCO Accelerator: Intelligent Equipment for Anomaly Detection
This Intelligent Equipment Accelerator detects anomalous data points in a dataset using an autoencoder algorithm. It features automated machine learning to facilitate use by business analysts and citizen data scientists. It also includes time series analysis and clustering of anomalies. Using visual analytics and data science, engineers are able to analyze sensor data and log data at the edge to detect anomalies within large volumes of data and alert case managers in order to take preventive actions.