- 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
|Tuesday, October 8, 2019
|8:00 AM - 9:00 AM
|8:20 AM - 8:50 AM
OPTIONAL - PI System 101
Optional pre event session on the PI System. Great for existing users of the PI System who want to update & expand their knowledge as well as for individuals new to the PI System who would like a foundation to better understand the Regional Seminar content.
|9:15 AM - 9:30 AM
Welcome & Introduction
|9:30 AM - 10:00 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.
|10:00 AM - 10:30 AM
PI Enabled Data Pipelines for Cloud Analytics
In this case study, leveraging PI AF and creating an efficient data pipeline, enabled by TwinTalk, feeds an advanced data analytics system that detects anomalies. The anomaly findings reduce downtime for offshore oil and gas platform equipment. Housed in Google Cloud Platform (GCP), the system ingests more than ten thousand rows of interpolated data per minute from the OSIsoft PI Archive data sources. The PI System coupled with TwinTalk helps lower operational costs and provides and easier self-service mechanism. This enables faster data-driven outcomes by lessening complex custom coded data pipelines. Also demonstrated, is how analytical results and operations data are combined to allow informed decisions.
|10:30 AM - 11:00 AM
|11:00 AM - 11:30 AM
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.
|11:30 AM - 12:00 PM
Finding the ROI in Digital Transformation
Digital Transformation is here. The question now is how can an organization avoid the pitfalls and achieve success. Neil Strother, Senior Analyst at Navigant Research, and Michael Kanellos, IoT analyst at OSIsoft, interviewed a range of OSIsoft customers last year and in this session Michael will share their observations and steps companies can take to accelerate their return on investment and better integrate new digital technologies into their workflows.
|12:00 PM - 1:30 PM
Lunch & Networking
|1:30 PM - 2:00 PM
Optimizing Power Generation Scheduling
Leveraging its PI System Data Infrastructure, the asset team has built a software platform that enables the optimization of daily generation, as well as providing plant operations with new tools to diagnose and assess plant performance.
Real-time plant data is needed to support the accurate bidding of all plant configurations, as well as provide start-up time and configuration recommendations.
This project demonstrates the value of using timely data from OSIsoft’s PI System to support complex Machine Learning applications. In this case, the applications are used to optimize plant generation planning and dispatch that segue accurately into predicted future enterprise financial performance.
|2:00 PM - 2:45 PM
The Five Best Practices Leveraging the PI System to Deliver Transformative Business Value in Oil & Gas
Distilled from a portfolio of user presentations from recent PI Worlds, Regional Seminars and from personal consultative experience, Craig Harclerode, OSIsoft's Oil & Gas Industry Principal, will summarize what he feels are the five best practices in leveraging the PI System to deliver transformative business value.
While the examples will be from the Oil & Gas industry, the "art of the possible" use cases are applicable to any industry. The goal of the presentation is to provide the audience with pragmatic and proven ways to leverage the PI System more strategically at their respective companies as a critical operational data integration, application and analytical infrastructure.
|2:45 PM - 3:15 PM
Break & Networking
|3:15 PM - 3:45 PM
Enabling Enterprise Analytics for IT Groups Needing Operations Data
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.
|3:45 PM - 4:15 PM
Enable OT & IT to Work Together
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.
|4:15 PM - 4:30 PM
Wrap Up & Closing
|4:30 PM - 6:30 PM
Networking Reception (across the street at Landry's)