This webinar was originally broadcast on August 29, 2024.
Now Available On Demand!
Duration: 1 hour
Sponsor: dataPARC
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Summary
Today, industrial organizations have more data at their fingertips than ever, offering the promise of higher production rates, more consistent quality, and reduced costs through data-driven strategies. Standing between many businesses and this promise of process optimization are questions surrounding the right tools to harness this data effectively – a choice complicated by the shifting status of longtime standards like OSIsoft’s ProcessBook and PI Vision applications.
Join us as we discuss:
- A framework for understanding and categorizing the current industrial analytics landscape
- The roles new AI and machine learning applications play in optimizing processes
- The current status and roles of ProcessBook and PI Vision in the market
- Methods for migrating from legacy systems like ProcessBook
- A firsthand look at the solutions dataPARC can offer in this evolving space
Speakers
Kevin Jones | Director of Partner and Product Strategy | dataPARC
Kevin Jones has over 20 years of experience in delivering decision support and data analysis systems to industries including Oil and Gas, Paper, Mining, Energy & Utilities, and Chemical Manufacturing. Kevin has a diverse background ranging from engineering to sales management. He has a track record of growing sales channels, particularly in the Asia-Pacific region, and a deep understanding of IIOT and ISA95 principles.
Adam Cooper | Senior Sales Engineer | dataPARC
Adam Cooper has spent over 14 years at dataPARC, moving from a Process Engineer role to his current position as Senior Sales Engineer. During this time, he's managed projects for clients in the US, China, Taiwan, and Indonesia. His work involves project management, system implementation, and training on dataPARC applications. Adam also collaborates with the sales and development teams to scope new projects and implement new features.
He holds dual BS degrees from the University of Washington in Paper Science and Engineering, and Chemical Engineering.
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