Sensor data in its raw form is not enough to monitor and make decisions on complex processes or systems. Equations from physics, thermodynamics, and other disciplines are used to make sensor data actionable. If you want to go further and make comparisons between equipment or site performance, normalization and event identification are a must. In this talk, you will get an introductory level understanding of:
• How you can elevate raw sensor data to be more actionable with the PI System
as well as
• How the PI System integrates this data with business intelligence tools and popular advanced analytics platforms, enabling you to find correlations and apply machine learning algorithms.
Solution Areas: Analytics, Machine Learning, KPIs and Reporting
OSIsoft Products: PI Vision, Asset Framework, PI Integrators