What is Anomaly Detection?
An anomaly is an unexpected change or deviation from the expected pattern in a dataset. Therefore, anomaly detection is a way of detecting abnormal behavior.
Fighting Financial Crime
Financial transactions worth trillions of dollars execute every minute. Identifying suspicious activity in real time can provide organizations a necessary competitive edge. Leading financial companies can control costs with anomaly detection to speed up false positive investigations and reduce fraud losses.
Addressing Healthcare Claims Fraud
Identify fraudulent claims and ensure that no payout is made for them. With TIBCO big data analytics and anomaly detection capabilities, you can build supervised, unsupervised, and semi-supervised models to reduce the likelihood of insurance fraud for each claim submitted.
Monitoring Equipment Sensors
Keep track of all your equipment, vehicles, and machines in real time with connected IoT devices. Monitor all your outputs with an anomaly detection solution to prevent costly breakdowns and disruptions. You can identify anomalous data patterns that may indicate impending problems by employing unsupervised learning algorithms like autoencoders.
Detecting Manufacturing Defects
Stop wasting time and money with offline, manual inspections to find anomalies, and start finding defects with autoencoders. Implement processes so that sensor data on manufactured components is monitored and any unusual events are detected using an autoencoder model in real time.
Visual Discovery
Supervised Learning
Unsupervised Learning
Time Series Techniques
Autoencoders & Machine Learning
Clustering
