- 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, April 17, 2019|
|8:30 AM - 10:00 AM|
Registration, Coffee & Light Breakfast
|9:00 AM - 9:45 AM|
OPTIONAL SESSION: Introduction to the PI System
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|
|10:00 AM - 10:10 AM|
Welcome and Introduction
|10:10 AM - 10:40 AM|
Keynote: The PI System: Empowering People to do Successful Analytics
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.
|10:40 AM - 11:40 AM|
The Future of Power & Utilities: Trends and Insights
Bruno's talk will focus on the changing landscape of the energy industry, how utilities are strategically using data to adapt with these changes and industry trends globally. The talk will highlight that the utilities sector is well into a period of transformation and profound change driven by technological and competitive forces, as well as changing customer expectations. As these forces accelerate, electric power companies are tapping new technologies to serve increasingly sophisticated customers conditioned by other industries to expect a high-tech digital experience. New technologies are also expanding opportunities to improve operational efficiencies and prompting experiments with new business models. However, regulatory structures are taking time to catch up. Change has begun, but it will need to spread faster for regulated utilities to meet evolving customer expectations. If they are not positioned to capture value from the shift toward distributed energy resources such as rooftop solar, battery storage, electric vehicles, and smart thermostats and appliances, they risk losing revenue. As we move into 2019, Bruno will take stock of how far and fast the industry is changing and what we should be looking out for in the New Year.
|11:40 AM - 12:20 PM|
Your People Are the Key to Successful Analytics
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.
|12:20 PM - 1:20 PM|
Lunch & Networking
|1:20 PM - 2:00 PM|
Visual Data Analytics for Industrial Operations: Finding the best BI and PI System tools
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.
|2:00 PM - 2:20 PM|
|2:20 PM - 3:00 PM|
Delivering high quality operational data for Advanced Analytics
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.
|3:00 PM - 3:10 PM|
Thank you and Closing
|3:10 PM - 4:00 PM|
Networking & Partner Exhibition