Splunk [AI/ML, Splunk Machine Learning Toolkit] 2019 .conf Videos w/ Slides

Enhanced Anomaly Detection: Join T-Mobile and Splunk as we Deep Dive an Enterprise-IT Operational Use Case [Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML]


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Is confidence in your ability to disassociate real alerts from noise at an all-time low? Are alerts becoming ineffective because they’re excessive? Many organizations across many industries wrestle with these questions daily. Even so, the prevalence of alert noise persists. Join us to understand how T-Mobile is using Splunk Enterprise with the Splunk Machine Learning Toolkit to identify and narrow the point of origin of service-impacting events across our suite of enterprise applications. Using the DensityFunction algorithm to highlight anomalous behavior, we’re able to focus an investigation on a small subset of the applications which in turn leads to faster resolution of the issues we’re confronted with. 

Speaker(s)
Iman Makaremi, Principal Product Manager – Machine Learning and AI, Splunk
Scott Garcia, MTS - Member Technical Staff, T-Mobile

Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1366.pdf?podcast=1577146257

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Splunk [AI/ML, Splunk Machine Learning Toolkit] 2019 .conf Videos w/ SlidesBy Splunk