Predicting Failures Before They Happen With Machine Learning

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Presented by

Nate Smalley, Principal Sales Engineer and Andrew Stein, Staff Business Analytics & IoT Practitioner

About this talk

Imagine a world without outages. Glorious, isn’t it? We’d like to help you get there. So how do you stop IT events before they escalate into outages? With a little help from machine learning. The predictive capabilities from the Splunk Machine Learning Toolkit (MLTK) combined with the Event Analytics capabilities in Splunk IT Service Intelligence (ITSI) give operations teams like yours the opportunity to proactively act on an event before it becomes an outage. Whether your current IT state is reactive or you’re already in a somewhat proactive state, these predictive capabilities will be something you’ll want to take note of! Join our webinar to learn how to: ● Predict a service health score ● Proactively take action based on those predictions ● Employ novel tactics for better incident management using advanced search commands
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