Real Time Anomaly detection

Training models with high volume of data allows the identification of unusual data points which can then be categorized as anomalies. Real-time streaming methods unlocks real-time anomaly detection and allows quick decision making. One of the most famous applications of real time anomaly detection is related to fraud detection.