Even with perfect logging, a sufficiently voluminous environment will eventually prove unwieldy for even the most experienced IT team. In a world of exponentially growing data, we not only need to know what is going on now - we also need a force multiplier. We need tools to process and triage that information quickly, to model system changes, to detect outliers and anomalies, and to be able to forecast what will likely happen in the future so we can get ahead of issues before they happen.

This upcoming Splunk User Group meeting will explore how you can access Splunk’s machine learning capabilities, and get hands-on experience using our out-of-the-box models to tackle everything from detecting anomalies to forecasting future values. The presentation will showcase how you can utilize the most common and versatile machine learning algorithms, how they can be customized, and when to use them to best enhance efficiency, enable intelligent analysis, and empower your team with data.

To operationalize our data intelligently, we need to fundamentally understand how our machine learning methods work. By developing a solid foundation of how, where, and when to use machine learning in the Splunk platform, you gain a powerful tool to help you scalably, sustainably, and accurately tackle your future data.