- Present their stories
- Network with peers and partners
- Hear about industry trends
- See the latest from OSIsoft
PI System in the Digital Enterprise
|Thursday, November 7, 2019|
|9:00 AM - 10:00 AM|
|10:00 AM - 10:15 AM|
Welcome & Introduction
|10:15 AM - 10:45 AM|
Introduction to the PI System
Attendees of the OSIsoft Regional Seminar are also welcome to join an optional pre-event OSIsoft PI System 101 Overview session. This optional session will cover the fundamentals of the Modern PI System and is tailored for those that are either new to the PI System and would like an introduction to the technology or wishing to update and refresh their knowledge.
|10:45 AM - 11:30 AM|
Mega Trends vs Outcomes. Why OT and IT Need to Team up to Drive Business Value
Many of us are asked countless times per week what we are doing to keep up with global trends like cloud, internet of things and artificial intelligence. Now more than ever, it’s important that we start with the end in mind. What are our most pressing business issues? How much are those costing us in revenue and profit. How can IT and OT team together to address these issues and how do we concisely communicate our effort to get it done?
|11:30 AM - 12:00 PM|
|12:00 PM - 12:30 PM|
Analytics: It’s what you do with the data that counts
Industrial Analytics is the buzz of the day. Big data, data lakes, machine learning and artificial intelligence are offering the allure of new insights and answers to efficiencies. However sometimes the first big win comes from a small improvement and the data your already own. Learn how you can break down seemingly complex big data problems into a manageable sequence of steps with the PI System. Even without waiting for completion of a full-blown statistical model, your operational experts can often spot anomalous patterns with little more than a few events captured by PI System event frames and compiled in a report. And when you are ready to push data to advanced machine learning (ML) tools, the PI Integrator line is available to jump-start your data science initiative with clean, ready-to-consume, reliable data.
|12:30 PM - 1:00 PM|
The PI System for Windfarm Operational Intelligence and Management
Mainstream RP has delivered over 1 GW of renewable plant into operation in 4 continents, with a further 250 MW currently in construction. In 2012, the PI System was installed in the first wind farm.
This presentation outlines:
|1:00 PM - 2:00 PM|
Lunch & Networking
|2:00 PM - 2:30 PM|
CBM: Just Right, Just-in-Time Maintenance
We are being asked to run equipment longer, faster and harder with less resources while minimizing failures. Condition based maintenance takes a data driven approach to maximizing the performance of your assets and maintenance schedules. Discover through drag and drop configuration how the PI System can be used for condition based maintenance. Configure digital representations of your assets, calculate key performance indicators (KPIs), and even send notifications or kick off maintenance work flows based on the real condition of your assets. Kick-starting your CBM project has never been easier with the modern PI System.
|2:30 PM - 3:30 PM|
How the PI System enables you to better control your batch processes
Batch processes are still very common in many markets such as Life Science, CPG, Food & Beverage, Hi-Tech like Semiconductor and to some degree in Pulp & Paper as well as in Metal & Mining. A batch process is a discontinuous process and the result of the batch is dependent on many parts such as the input of material and the process evolution during the phases of the batch.
|3:30 PM - 4:00 PM|
Using OSI PI to optimize an Additive Manufacturing Process
This presentation is a overview of how the PI System has enabled Stryker Additive to optimize their asset base enabling growth within their business. Hear how Stryker used the PI system to create and embed a OEE system within their business.
|4:00 PM - 5:00 PM|
Why Join Us?
This seminar will feature presentations from OSIsoft experts and users of the PI System, demonstrating how they are achieving data-driven decision making in real-time.