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.

You have the data. How do you make sense of it? The Internet of Things (IoT) is no longer a fancy marketing term thrown in to close a critical deal – it’s all around us. In the digital age, everyone ...

Timothy E. Smetek, Kenneth W. Bauer Jr. Hyperspectral anomaly detection is a useful means for using hyperspectral imagery to locate unusual objects. Current anomaly detection methods commonly use ...

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 ...

Within the finance industry, detecting rare events — or anomalies — in data is key to solving business problems that can have high monetary costs such as financial crimes detection and risk modeling.

Ernst & Young is leveraging its $1 billion investment in talent and technology to expand the use of artificial intelligence and machine learning. Processing Content EY began using older technology ...