Would someone kindly guide me to use cases in gas plants that are good candidates to start experimenting with MS Azure?
Appreciate any help,
I don't if you had the opportunity to review the reference section of the OSIsoft site but there you can find good white papers. Maybe you can start by Data Lake or Data Swamp and Operational Intelligence: Transforming Industrial Operations with Data. Also one of the key items for the integration with Azure and other cloud services is the PI Integrator for Business Analytics and the PI Integrator for Microsoft Azure. Both can satisfy the mechanism to start moving data to the cloud and start using Predictive Tools available in Azure.
Another White Paper section located in PI Square.
In addition to what Jaime has referenced, you may also want to take a look at the document from a very neat lab we had at the last UC (2017)
UC 2017 Hands-On Lab - Apply Data Science and ML to PI System Data for Predictive Analytics
At TechCon 2016, we reviewed an end-to-end use case for developing a machine learning (multivariate PCA - principal component analysis) model to predict equipment failure
Here are some more customer examples:
Deschutes Brewery: Reducing Beer Production Time with Predictions
Devon Energy: The Importance of a Real-Time Data Infrastructure for IIOT, Advanced Analytics, and Big Data
Hope this helps,
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