Ryan Myers: About the Author
Senior Manager of New Product Development, Pinnacle
Ryan Myers is the senior manager of New Product Development at Pinnacle, where he leads a cross-functional team of engineers, data scientists, and software developers. His team focuses on creating new products and services that transform customers’ reliability, integrity, and maintenance programs, enabling them to reach new levels of performance.
Ryan specializes in product management, digital transformation, operational excellence, project management, mechanical integrity, and reliability engineering. He also has extensive experience leveraging predictive analytics to drive smarter decisions and improve business performance.
Ryan obtained his Bachelor of Science in Mechanical Engineering with a Minor in Business from The University of Texas.
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Published Articles
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November/December 2020 Inspectioneering JournalFacilities that can successfully leverage both their data and expertise while effectively integrating this unified model into their core business processes can improve performance and eliminate non-value-added activities.
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November/December 2019 Inspectioneering JournalToday's operators are implementing a myriad of Mechanical Integrity and Reliability programs to realize greater results from their facilities. However, for each of these programs to be effective, they must be fueled by quality and up-to-date data.
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May/June 2017 Inspectioneering JournalEffective condition monitoring location selection is a key component of a best-in-class mechanical integrity program. Learn how moving beyond traditional qualitative approaches to optimized CML selection can reduce risk and maximize the value of each inspection.
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May/June 2016 Inspectioneering JournalData, in pure form, consists of raw, unorganized facts that need to be processed. Data can be found in databases, documents, drawings, reports, spreadsheets, and numerous other sources. Having data on hand is useful, however, it’s often inefficient and counterproductive to make decisions based on data in its raw form.
