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Case Studies

Intel: Using H2O for Anomaly Detection of Network Traffic

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"Once we started using H2O we saw the number of false positives reduced significantly within hours."

Ed Dixon
Data Scientist

Use Cases

Anomaly Detection

Overview of the Challenge

Ed was a former developer and turned to data science since he could not have machines do what he wanted by just coding. Hence, he started to work on Anomaly Detection of Network Traffic using AI. Initial experiments took month and led to a high rate of false positives. Then he started using H2O and within a few hours he saw the number of false positives reduced significantly.