Attention, academic attendees at PI World 2018!
We’re excited to have so many of you join us in San Francisco for the 2018 OSIsoft Academic Symposium. This event will kick off the conference on Monday, April 23rd. PI World 2018 will be full of opportunities to learn how the PI System is used to solve business challenges, to interact with industry representatives, and to learn about OSIsoft technologies.
Our PI World Hands-On Learning Labs provide one such opportunity. These hands-on labs occur on Thursday, April 26th and Friday, April 27th. Note that pre-registration is required. You may register for the labs when you register for PI World. If you have already registered, please email email@example.com to update your registration.
These labs will be of particular interest to the Academic Users Group:
A Digital Plant Template for Operational Insights - An Enterprise Strategy
This lab uses a follow-the-money strategy to provide an example that integrates the AF/Asset Analytics/Event Frame data for running a plant. In this lab, you will learn how to bridge the gap between production planning and execution and to simplify implementation for production monitoring. We will run simple analyses that will help increase production yields and reduce operating costs with an integrated approach for Overall Production Management. Power User Lab.
Advanced Analytics for PI data for Data Scientists
PI System is the standard time series data infrastructure across several industries. Decades of operational data collection has turned each PI System into a treasure trove for data scientists to extract knowledge. Come to this lab and learn, as a data scientist, how you can access, shape, and use PI data to generate insight and knowledge. A basic understanding of data science basics is required for this lab. No knowledge of PI System is necessary.
Fit for Purpose - Layers of Analytics using the PI System – AF, Matlab, Machine Learning
This hands-on lab covers scenarios to illustrate the different levels of analytics that are fit-for-purpose when using the PI System. For example, what calculations and analyses do you do in AF? When do you use Matlab and similar libraries for advanced calculations that hook into AF? When do you call on “data science and machine learning ?” Use cases will include those focused on an equipment, such as a pump, motor or compressor, and those focused on a process. We will also cover examples of advanced analytics that are part of the data collection from the edge devices and contrast these with predictive analytics – both the model development and model deployment (scoring new incoming real-time data) and include cloud vs. fog vs. edge scenarios.
Introduction to PI System Developer Technologies
This lab is designed for software developers new to the PI System who desire programmatic access to it. You will be introduced to various Developer Technologies that you can leverage in your custom application to interact with the PI System. You will have some hands on experience with each technology. At the end of the lab, you will walk away with knowledge of their basic capabilities and also know where to go if you want to dive deeper into them.