Overview
Owner/operators are facing increasing pressure to improve the performance of their mechanical integrity (MI) programs. When tasked with reducing leaks or reducing costs, achieving those goals can pose a significant challenge when faced with the day-to-day realities on-site.
Join us on Thursday, November 30th at 1:00 PM CST as Inspectioneering teams up with Pinnacle for our latest webinar, "Three Key Impacts of a Data-Driven Approach on Your MI Program and Turnaround Strategy." During this webinar, we will discuss how facilities can use their process data to help bring MI and operations teams together, optimize turnaround strategy, and reduce risks and costs. Participants will gain a better understanding of how to apply specific data-driven methodologies to decrease uncertainty in their asset’s health and improve the reliability of their MI program.
This webinar is complimentary and registration is easy – simply click the button below to get started.
About the Speakers
- Lewis Makin serves as Vice President of Solutions and Marketing at Pinnacle where he is responsible for building and managing long lasting client relationships with maintenance and reliability departments in the oil & gas, mining, and specialty chemical sectors across the globe. Lewis has over 10 years of experience in the industry and has dedicated his career to helping industrial facilities leverage the right data to make better reliability and mechanical integrity decisions.
- Ryan Myers, Product Manager & Data Scientist at Pinnacle, oversees all new product development activities for quantitative reliability methods and the application of advanced analytics technologies. He leads multi-disciplinary technical teams across engineering, data science, and software development fields to drive the creation of new products and services focused on increasing customer value through transforming their reliability, integrity, and maintenance programs. Ryan specializes in mechanical integrity and reliability engineering, operational excellence, probabilistic modeling, decision analytics, digital transformation, and product management.
