Apply machine learning to your data for actionable insights that inform faster, smarter decisions.
Family of Smart Assistants
Accelerate time to value with step-by-step guided workflows to build and deploy models for common business challenges.
Operationalize your machine learning: Collect and analyze data, train models iteratively, and set alerts — in real time.
Accelerate ML Use Cases
Develop production models for outlier and anomaly detection, predictive analytics and clustering.
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.?