Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases.

Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One ...

Lacework added an automated time-series modeling to its existing anomaly detection capabilities and enhanced its alert system for better threat detection and investigation at scale. Polygraph ...

Tim Keary looks at anomaly detection in this first of a series of articles. Unmanageable datasets have become a problem as organizations are needing to make faster decision in real-time. Machine ...

CUPERTINO, Calif.--(BUSINESS WIRE)--Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the ...