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 PI System as well as • How 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; Artifical Intelligence; Big Data; Machine Learning; Process Optimization
OSIsoft Products: Asset Framework; Asset Analytics; Event Frames; PI Vision; PI Integrators
Carlos Villanua Fernandez
Carlos is a Systems Engineer in the Customer Services Group at OSIsoft and a Master’s degree in Automatics and Electronics. Carlos works with customers from different industries to provide guidance on best practice, architecture, security, technology and solutions.
Prior to joining OSIsoft in 2014, Carlos worked for two companies that build and automatize pharma labs and in one of the largest high-speed trains’ manufacturer worldwide.
During his time at OSIsoft, Carlos has technically supported as a Development Support Engineer and Product Support Engineer, clients to fulfill their PI System data infrastructure needs.
In the Systems Engineer role, Carlos works closely with many customers and prospects across different industries to help them realize the greatest value from their time-series data. Carlos provides product demonstrations, consultancy on architecture and security and runs hands-on workshops to solve business problems.