- Present their stories
- Network with peers and partners
- Hear about industry trends
- See the latest from OSIsoft
This year our regional seminars focus on industrial analytics. Analytics is promising to deliver new efficiencies within critical operations. Join us to gain insights into:
- The role of IoT, Edge, Cloud and Data Lakes within Industrial Analytics
- Different analytics approaches for critical operations
- Capabilities of the PI System to support your analytics
- Best practices for industrial analytics
- Analytics case studies
Analytics with the PI System
|Wednesday, October 23, 2019|
|7:30 AM - 9:00 AM|
|8:00 AM - 8:45 AM|
Attendees to the OSIsoft Regional Seminar are also welcome to join an optional pre-event OSIsoft Introductory session. This 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.
|9:00 AM - 9:10 AM|
|9:10 AM - 9:40 AM|
Today, analytics is promising to deliver new efficiencies within industrial operations. To maximize the value of industrial analytics, you need a strategic approach that addresses edge, enterprise and cloud tools for operations data while minimizing delays and failures from data inaccessibility, intensive data processing, and poor data quality. A successful industrial analytics strategy requires a data infrastructure approach that fosters trust and is optimized for enterprise-wide operational analytics.
This overview session introduces the latest trends within industrial analytics, highlights best practices for success, and shows how the OSIsoft PI System, edge, and cloud technology support different types of analytics for varying audiences – from engineers and managers to data scientists within IT and OT groups.
|9:40 AM - 10:10 AM|
Unilever-Chicago deployed the PI System in as a pilot in 2018 and immediately gained great results in discovering waste reduction opportunities. Partnered with Stone Technologies, Unilever immediately deployed the PI system into Production in early 2019 and the Asset Framework, Analytics, Notifications and PI Vision is a major part of the site plans to improve Operations through OEE and a Plant Mass Balance. This system has also been integrated to Unilever’s Global IIoT Digital Factory effort in Azure.
|10:10 AM - 10:40 AM|
To take advantage of operational data across the enterprise, you need to enable more people to consume the data: maintenance engineers, general managers, data scientists, and executives. From real-time access and exploration to operational reporting and analytics, users have different data, technology, and application needs. Managers need to know if targets are being achieved. Analysts need operational data integrated with business data. Data scientists need a cleaned operational data set to train machine learning algorithms for predictive capabilities. But raw operational data can be hard to understand, difficult to access in real time, and hard to consume without extensive processing, which leads to trust and quality issues. In this session, we’ll demonstrate how the capabilities of the PI System can be used to gather, structure, process and deliver the analytics needs of different audiences throughout the enterprise, ensuring that any person can access, understand, and trust the data.
|10:40 AM - 11:00 AM|
|11:00 AM - 11:30 AM|
Many of today’s visual analytics tools have been created for business and financial applications and users. Operations managers and engineers need analytics tools specifically designed for industrial operations, which can deliver real-time insights into process and equipment performance. In this session, we'll explore visualization approaches and discover the options best suited for your operations and business needs. We’ll demonstrate how industrial engineers can easily build operational views with PI Vision, use tools like PI DataLink for ad hoc data exploration in Excel, and leverage Power BI from Microsoft for reporting business and operations data together – all with minimal technical skills.
|11:30 AM - 12:00 PM|
Advanced analytics tools and platforms allow businesses to ask more from their operational data and obtain new insights. Yet 60% of Big Data projects fail. Simply ingesting raw operational data into your favorite business intelligence tool or data lake creates significant challenges and barriers to success. Problems with data access, data quality, data structure, and outputs from “black boxes” typically lead to unreliable conclusions or predictive algorithms that are never adopted.
In this session, we’ll cover the challenges of using new analytics tools with operational data; share how the PI System and the PI Integrators deliver analytics-ready data; show how subject matter experts in operations can easily curate data that can be understood by business and IT operations; and demonstrate how the 3rd party advanced analytics tools from Amazon, SAP, and Microsoft, can consume the data for trusted and quality analytics.
|12:00 PM - 1:30 PM|
|1:30 PM - 2:15 PM|
Optimizing the value of your critical operations data means going beyond your operations teams. Sharing the operations data with your IT team enables business data to be combined with operations data for added insights, and advanced analytics projects to deliver insights not possible before. To gain value from these enterprise analytics projects it’s imperative these insights are transferred back into the operations environment and the tools used every data by operators and process engineers.
In this session we explore key challenges for supporting IT with advanced analytics projects and how the PI System is best utilized to streamline IT enterprise analytics projects, and importantly transfer insights back into operations to drive efficiencies.
|2:15 PM - 2:45 PM|
Refined Knowledge™ powered by ECOLAB3D™ drives performance in refining and petrochemical operations, delivering predictive data in real time to reduce risks and optimize assets. Refined Knowledge™ has been using OSIsoft technology since its inception in 2009. Our solution uses a multitude of OSIsoft applications including Asset Framework for asset contextualization, PI Cloud Connect for quick & secure data sharing with our customers, PI Vision for agile display trending during automation trials, and PI WebAPI to connect to the Refined Knowledge™ user experience. The suite of tools provided by the OSIsoft technology stack allows us to add further value for our customers through enhanced applications such as HEAT for petrochemical heat exchanger monitoring and CrudeFlex for feedstock flexibility & production optimization.
|2:45 PM - 3:15 PM|
In today's IT-OT convergence, enterprises around the world are beginning to use the term, digital twin, which is a new way to represent physical assets on the plant or performance level with animated data. However, sometimes it's difficult to know where to start, and if it's the right solution for some businesses. We will cover the current state of asset health and performance data collection using the latest technologies for digital twins to create new solutions for KPI monitoring, event identification, and anomaly detection of business operations.
|3:15 PM - 3:45 PM|
New sensors, new connectivity, and elastic computing in the cloud is providing additional opportunities to gather, access and process data for critical operational insights. Learn how OSIsoft is investing in edge and cloud technology to help you to take advantage of the latest digital trends. From an easier-to-manage PI System, to remote equipment monitoring, to data science and data collaboration, this session will share how OSIsoft technology advancements and investments are opening up new opportunities to drive operational efficiencies with minimal effort.
|3:45 PM - 4:00 PM|