Tech Talk: Anomaly Detection with Splunk Machine Learning

Presented by

Anthony Tellez, Machine Learning Architect: Splunk Machine Learning and Jessica Davlin Snr Product Marketing Manager Splunk

About this talk

Are you looking to detect outliers in your Splunk data? The Splunk Machine Learning Toolkit can help! We’ll show you how to leverage the Smart Outlier Detection Assistant to experiment and build a model to detect any deviations from past behaviors or unusual changes. Whether you’re responsible for managing IT or security data, we’ll show you how easy it is to utilize machine learning to spot anomalies, gain new insights, and make more informed decisions. Tune in to: - Learn how to a build model with your Splunk data using machine learning Understand how Splunk can help detect anomalies in your IT and security data - See a demo of the Smart Outlier Assistant in the Splunk Machine Learning Toolkit - Get access to the latest resources on Machine Learning in Splunk

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Description: Splunk Inc. (NASDAQ: SPLK) is the market leader in analyzing machine data to deliver Operational Intelligence for security, IT and the business. Splunk® software provides the enterprise machine data fabric that drives digital transformation. More