Cynthia Freeman, research engineer at Verint, will present “How to Determine the Optimal Anomaly Detection Method for Your Application” on December 3. The early detection of anomalies is vital for ensuring undisrupted business and efficient troubleshooting—unfortunately, there is no one best way to detect all anomalies across a variety of domains. Such methodology is a myth given that time series can display a wide range of behaviors—in addition, which behavior is anomalous can differ from application to application. In light of these issues, Verint will introduce a framework to help determine the best anomaly detection method for each application, based on characteristics the time series possesses, while discussing automating the classification of time series and choice of anomaly detection method.