Why are anomalies interesting?
Deviations ( “anomaly” ) can be interesting for many reasons. For example, an anomaly might tell you that maintenance is needed on a machine, or that a change is taking place in a logistics process. Aberrant behavior can also be associated with potentially suspicious actions.
But not all anomalies are unexpected: Sometimes an anomaly can be explained in ways that we, as humans, do not immediately glean from the data. Patterns such as the season, a holiday or the weather can explain deviations.
Our algorithms can find patterns in multiple complex data that you can’t find with the naked eye. These patterns are the basis for the solution learning for itself what is normal and what is abnormal.
Our algorithms specialize in finding anomalies: