Description
Attend this lab to learn about the best practices for operationalizing predictive data models with the PI System infrastructure. Out-of-the-box, the PI System AF component allows you to deploy simple analytics and predictions such as those from linear and polynomial curve fits. Advanced models can be developed using open source R, Python etc. and commercial libraries in Azure ML, AWS and GCP. Once such models have been developed, you can operationalize them by posting the predictions and forecasted results back to the PI System. With illustrative use cases, this lab will provide a walk-through for putting simple and advanced models into play using the PI System infrastructure. This is not a developer/coding lab; however prepared scripts and R/Python snippets with PI WebAPI will be used.

Target Audience: Power User