In this session, we’ll explore how to bring externally trained machine learning models into Splunk using the Open Neural Network Exchange (ONNX) format and run real-time inference within the Splunk environment.
We’ll cover:

• Convert models to ONNX format

• Integrate ONNX models with Splunk’s Machine Learning Toolkit (MLTK)

• Operationalize predictions in Splunk

• Practical use cases (anomaly detection, classification, forecasting)

Perfect for anyone looking to extend Splunk beyond built-in algorithms and integrate enterprise-grade AI models seamlessly.