Presentation: Introduction to Process Optimization with the PI System and Advanced Analytics

PRESENTATION

2017 - Users Conference - London - PI System Basics

Introduction to Process Optimization with the PI System and Advanced Analytics

Now you're ready to use your data in retrospective analyses to quantify top pain points and identify opportunities. Find out how most companies get started with process and production improvements and where you could begin. Then learn how industry leaders are using the PI System to get operational data into different, powerful business intelligence and machine-learning tools to go even further. Topics: Process and production optimization use cases from various industries What ingredients do these use cases have in common? Your first 3 steps How to take your optimizations to the next level PI 101 courses are for attendees who are new to the PI System or new to the UC. These sessions will cover key concepts, PI System products, and common use cases. By the end, you will have a foundation to get the most out of the UC and conversations with fellow attendees.

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Industry

  • General

Company

OSIsoft

Speaker

Landry Khounlavong

Landry Khounlavong began his journey with OSIsoft in 2010 as a Technical Support Engineer. He then continued his passion for helping customers a few years later as a Product Support Strategist. Today, he is Product Marketing Manager for PI Integrator for Business Analytics and PI Integrator for Microsoft Azure. He holds a BS in Chemical Engineering from University of Florida and a PhD in Chemical Engineering from The University of Texas at Austin.

Company

OSIsoft

Speaker

Selmane Sekkai

Selmane Sekkai is a Systems Engineer at OSIsoft since January 2017. His role is to explain the technology and define the PI System architecture to customers. Previously, he had a similar role at MathWorks (editor of MATLAB and Simulink) for 4 years and worked for 3 years in the Automotive Industry as a Design Engineer. Selmane graduated from the “Ecole Polytechnique” of Algiers with an engineering degree in Control Design. He also holds a master’s degree in Industrial Computing from Pierre and Marie Curie University in Paris.