Traditionally, the industry is using threshold-based anomaly detections for realizing business use cases. Here at Innova, we perform threshold as well as frequency-based detection, and ‘human-like’ pattern-based anomaly identification, by recognizing anomalies across multiple data streams.
Our Anomaly Detection solution is an unsupervised, feedback-based solution to check data anomalies that learn with time and get better with more data and feedback.
Our detection service aims to automatically detect unanticipated behavior of processes and assets, using time series data.
