Donald Gennetten has over 15 years’ experience supporting digital channels in the Financial Services industry. In his current role as a Data Engineer for Capital One’s Monitoring Intelligence team, he leads a cross functional group of Data, Business, and Engineering subject matter experts to deliver Advanced Analytics solutions for real-time customer transaction monitoring and issue detection.
Use of H2O for Mobile Transaction Anomaly detection
Effective volume anomaly detection presents unique challenges when monitoring customer transaction volumes across thousands of platforms and systems. We overcome this by using H2O, building on open source tools, and delivering machine learning anomaly detection for enterprise scale. Come hear how we model, visualize then automatically alert on anomalous Mobile app volumes in real-time