Description
Getting data into PI is the first half of your journey. Your goals likely involve deriving value from your data by analyzing it with third party analytics tools to optimize your processes and improve efficiency. In this talk we will discuss how to egress data from the PI System via PI Web API into a Jupyter Notebook, train a model with that data to make actionable predictions, and how to use those predictions in a production environment.

Technologies and Components Included in this Presentation
PI Web API
PI Web API Sample Code
Python, Jupyter Notebook, and Python Data Analysis Libraries