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Asset monitoring, modeling and analytics yield maintenance and operations optimization

About the Session


Preston T. Johnson is a seasoned Product and Business Development Executive with over 15 years of global experience driving growth across sales, marketing, and engineering teams in the equipment reliability and industrial digital technology sectors. Passionate about predictive maintenance, process optimization, digital twins, and artificial intelligence, he partners with asset owner/operators to implement Intelligent Monitoring and IIoT systems that enhance equipment reliability, asset health, and production efficiency. His approach combines technical acumen, business strategy, and reliability engineering to deliver measurable productivity gains and digital transformation outcomes.

Throughout his career, Preston has led major initiatives in digitalization and IT/OT convergence, including developing the “SmartCBM” digital condition monitoring strategy at Allied Reliability and the InsightCM™ platform at National Instruments, generating over $10 million in early product revenue. His expertise spans enterprise software sales, reliability engineering, and product management, supported by a proven record of leading cross-functional teams and creating go-to-market strategies that bridge industrial operations with cutting-edge digital technologies.

Key Topics

01 Building asset models that highlight high-value operational data
02 Implementing real-time monitoring to ensure data quality and visibility
03 Using diagnostic and predictive analytics to track performance and anticipate failures
04 Translating data-driven insights into proactive maintenance strategies
05 Defining performance metrics and KPIs to measure reliability and success

For more on this conference or to access the session, reach out to us at info@ptnevents.com.

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