The 2019 Milwaukee Analytics Workshop is coming to you!
- Different analytics approaches for critical operations
- Capabilities of the PI System to support your analytics
- Best practices for industrial analytics
| Wednesday, June 5, 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 9:30 AM - 10:00 AM | Registration | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 10:00 AM - 10:10 AM | Welcome & 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.
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| 10:40 AM - 11:30 AM | Power of Choice: Visual Analytics for Everyone Supporting Operations Operations managers and engineers need analytics tools specifically designed for industrial operations, which can deliver real-time insights into process and equipment performance. Many of today’s visual analytics tools have been created for business and financial applications and users. In this session, we'll explore visualization approaches and discover the options best suited for your operations and business needs. We’ll demonstrate how 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 - 12:10 PM | Idea to Impact: Obtaining Measurable Results through Human Intelligence Domain experts face operational challenges daily. Based on their intimate familiarity of process relationships and the problem at hand, ideas arise which can provide a solution. Taking ideas to successful outcomes requires access to data, intuitive analysis tools and the structure to roll them out to the entire organization. In this discussion, we will review several customer stories that illustrate how small groups have taken their ideas to positively impact their companies | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 12:10 PM - 1:10 PM | Lunch & Networking | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1:10 PM - 1:50 PM | Delivering high quality operational data for Advanced Analytics AF Analytics offers distinctive advantages when preparing time-series data for advanced analytics. It can play and essential role in testing, evaluating and operationalizing developed models. In addition, the openness of the PI System supports several different data access methods, meeting the needs of any data engineer or scientist.
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.
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| 1:50 PM - 2:00 PM | Thank You & Closing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2:00 PM - 6:30 PM | Stay & Enjoy the Harley-Davidson Museum Harley-Davidson Museum admission is included with your OSIsoft Workshop attendance. Stay after the workshop & enjoy some museum time, or return within 90 days to use your museum ticket. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
