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The Duck Test: Leverage Machine Learning to Remediate Fraud in Huge Datasets [Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML]
Aflac measures risk to provide financial protection to more than 50 million people worldwide. Join this session to learn how Aflac mitigates fraud by using Splunk's Machine Learning Toolkit (MLTK) to find outliers and cluster events. Using Splunk and the MLTK reduced the time needed to conduct necessary analyses (e.g. link analysis) from weeks and months to just minutes—we will share with you how we use Splunk's MLTK to iterate quickly, develop new anomaly detection techniques, and improve our overall fraud mitigation perfomance.
Speaker(s)
Matthew Harper, Director, Cyber Crime Prevention, Aflac
Matthew Harper, Director, Cyber Crime Prevention, Aflac
Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1904.pdf?podcast=1577146258
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By SplunkAflac measures risk to provide financial protection to more than 50 million people worldwide. Join this session to learn how Aflac mitigates fraud by using Splunk's Machine Learning Toolkit (MLTK) to find outliers and cluster events. Using Splunk and the MLTK reduced the time needed to conduct necessary analyses (e.g. link analysis) from weeks and months to just minutes—we will share with you how we use Splunk's MLTK to iterate quickly, develop new anomaly detection techniques, and improve our overall fraud mitigation perfomance.
Speaker(s)
Matthew Harper, Director, Cyber Crime Prevention, Aflac
Matthew Harper, Director, Cyber Crime Prevention, Aflac
Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1904.pdf?podcast=1577146258