May 29- Johannesburg Regional Seminar
- 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
May 30- Tech Labs
Analytics with the PI System
Wednesday, May 29, 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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8:00 AM - 10:00 AM | Registration 8:00 AM - 10:00 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:50 AM - 9:00 AM | Welcome & Introduction 8:50 AM - 9:00 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:00 AM - 9:45 AM | OPTIONAL SESSION: Introduction to the PI System 9:00 AM - 9:45 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:45 AM - 10:00 AM | Break 9:45 AM - 10:00 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:00 AM - 10:10 AM | Introduction- Seminar begins 10:00 AM - 10:10 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:10 AM - 10:50 AM | Keynote: The PI System: Empowering People to do Successful Analytics (by RSM) 10:10 AM - 10:50 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.
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10:50 AM - 12:00 PM | Visual Data Analytics for Industrial Operations: Finding the best BI and PI System tools 10:50 AM - 12:00 PM 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:00 PM - 1:30 PM | Lunch & Networking 12:00 PM - 1:30 PM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:30 PM - 2:00 PM | Customer Success Story – Sappi’s Journey to The Digital Enterprise 1:30 PM - 2:00 PM Jo Boyd is part of a multidisciplinary team using advanced analytics with a variety of large data sets to look at improving the consistency of pulp viscosity. The POC project's main purpose was to gain experience in the Advanced Analytics process through detailed application to a Continuous Process problem. Grow and develop the IP within our Organisation through direct experience. Use Microsoft Azure to operationalize the process and get a better understanding of the tool. Keep PoC costs to a minimum until the insights had been gained. Following the initial success of the POC, and with experience gained Sappi now have a tuned and effective methodology and more projects in the pipeline. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:00 PM - 2:40 PM | Best Practices for Supporting Enterprise Analytics with IT Groups 2:00 PM - 2:40 PM Enterprise analytics involves data from a complex environment of systems, devices, networks, and departments that span operation technology (OT) and business IT groups. IT groups are rapidly investing in new edge, cloud and analytics technologies: new sensors, edge devices, Microsoft, AWS, and SAP analytics tools, and open source data lakes in the cloud. The result is an even more complex ecosystem of existing and new sources of data and technology that spans IT and OT, all while requiring utmost security.
This session focuses on the best practices for leveraging existing and new sources of data from both OT and IT investments. Learn how a data infrastructure approach can securely enable OT and IT to share and deliver analytics-ready data for both operational analytics and enterprise analytics. We’ll demonstrate how the PI System can enable enterprise agility to adopt new technologies and analytics methods that leverage edge, cloud, machine learning and artificial intelligence.
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2:40 PM - 3:00 PM | Break 2:40 PM - 3:00 PM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:00 PM - 3:30 PM | What Value Can Digital Transformation Bring to Mining companies? 3:00 PM - 3:30 PM Mining companies have increased their investment in automation and technological innovation during the last years, embracing new opportunities to improve productivity. Today, some companies are adopting a digital transformation strategy, which will revolutionize how these companies operate. The abundant and growing quantity of real time operational data and events collected opens the door for improvements across the entire organization instead of only specific areas.
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3:30 PM - 4:00 PM | The Future Now- OSIsoft Strategy 3:30 PM - 4:00 PM In this session 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. A brief guide will also be given to how the different OSIsoft learning programs can assist with keeping people first in these digital initiatives. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:00 PM - 4:05 PM | Thank you and Closing 4:00 PM - 4:05 PM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:05 PM - 5:00 PM | Networking & Partner Exhibition 4:05 PM - 5:00 PM |
Agenda Tech Labs, May 30
Thursday, May 30, 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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7:30 AM - 8:30 AM | Registration and Morning Refreshments for Tech Labs Day 7:30 AM - 8:30 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:30 AM - 9:00 AM | PI 101 8:30 AM - 9:00 AM This session will ensure that those attending the Tech Labs have the basic understanding of the components of the PI system and be familiar with the OSIsoft terms used during the sessions. No registration required. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:00 AM - 9:15 AM | Break 9:00 AM - 9:15 AM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:15 AM - 12:00 PM | Lab session #1 - Building Displays with PI Vision 2019 9:15 AM - 12:00 PM Discover why PI Vision is truly the next generation of PI System visualization. Create, format and organize your displays with graphics, multi-state values, and trends. Configure dashboards that automatically search for the assets of interest and intelligently set the context as you navigate. Migrate existing PI ProcessBook displays into fully featured and editable PI Vision displays. Select data items from your displays and send to the reimagined Ad-hoc Workspace for further analysis.
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12:00 PM - 1:00 PM | Lunch 12:00 PM - 1:00 PM | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:00 PM - 3:30 PM | Lab session #2 – Asset Framework (AF) F to Analyze Asset Performance 1:00 PM - 3:30 PM In this hands-on lab based on data from a wind farm you will learn the basics of how to use Asset Framework. How to calculate the expected power from a power curve and give immediate feedback on assets that are not giving their expected output. We will look at tools to build feedback mechanisms into real-time displays as well as creating electronic notifications. You will also learn how to use tools within the PI System to automate reporting functions such as site power rollups and reports of underperforming turbines. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:30 PM - 4:00 PM | Tea and Departures 3:30 PM - 4:00 PM |