Machine Learning Toolkit

Apply machine learning to your data for actionable insights that inform faster, smarter decisions.
SPL & Open Source Library Integration
commands to directly build, test and operationalize supervised and unsupervised models. Access the TensorFlow™ library through the Splunk MLTK Container for TensorFlow™, available through certified Splunk Professional Services. Use any of the pre-packaged Python algorithms, or import any of 300+ open-source ones.
Predict Numeric and Categorical Fields
Faster Performance for Large Data Sets
Cluster Numeric Events
Detect Numeric and Categorical Outliers

Through intensive training, AI and machine learning establish baselines for your data and detect deviations from past behavior or abnormalities that might otherwise go undetected.
See how the National Ignition Facility identifies abnormal behavior as it monitors the U.S. nuclear stockpile.

Make highly accurate, proactive decisions based on real-time data from business transactions, IoT input, IT processes, and security operations. It’s now possible to predict service health scores, capacity and maintenance needs, and more.
See how broadband provider Viasat uses predictive analytics to keep its satellites working.

There are patterns in your data that human analysts will miss: trends in ITOps and in security, and patterns in customer behaviors that suggest new markets and opportunities. Automate analysis of clusters to identify and group similar data points to help you see the signals in the noise, and make better decisions.
See how pharma startup Recursion identifies high-value patterns in large sets of genetic research data.