• Date: Wednesday June 17, 2026, 8:00 am – 9:00 am

      Room: Reliability Stage | Mt. Rose Ballroom

      Andy ReinAndy Rein

      In high-pressure manufacturing environments, effort often becomes the default response. Reliability engineers, maintenance leaders, and plant managers face daily operational pressure from production targets, unexpected failures, turnover, and limited time. Yet the most reliable organizations do something different—they deliberately protect preparation.

      In this engaging keynote, Olympic silver medalist and reliability industry veteran Andy Rein connects lessons from elite competition, a 2,200-mile Appalachian Trail thru-hike, and years working with manufacturing organizations to reveal a powerful performance principle: Preparation builds margin, and pressure reveals it.

      Through compelling storytelling and practical insight, audiences discover how organizations can protect inspections, lubrication, alignment, and analysis even when operational pressure rises—preventing drift and building reliability cultures that perform consistently under stress.

      Audience Takeaways

      • Understand why preparation, not effort alone, drives reliable performance under pressure
      • Recognize how organizational drift begins and how to prevent it
      • See how margin protects disciplined maintenance and reliability practices
      • Apply the practical framework: Optimize, Predict, Eliminate (OPE) to strengthen reliability systems
    • Date: Wednesday June 17, 2026, 1:00 pm – 1:50 pm

      Room: Reliability Stage | Mt. Rose Ballroom

      Igor MarinelliIgor Marinelli

      For three decades, two disciplines have shared the same plant floor and barely spoken to each other. Lubrication technicians carried ultrasonic guns. Condition monitoring analysts carried vibration meters. Two routes, two databases, two budgets, and too often, two contradictory diagnoses on the same bearing.

      This keynote examines why that divide has persisted, and why 2026 may be the year it finally collapses. Beneath the sensing story is a larger power shift the industry hasn't fully reckoned with yet. For a century, technical authority over assets belonged to the OEM. AI trained on real-world, multi-modal field data is inverting that relationship, moving the truth about how equipment actually fails from the datasheet to the frontline.

      Drawing on research into lead-user innovation, this talk argues that the most consequential decisions in industrial reliability are no longer made in headquarters. They're made by the people closest to the asset.

Last updated: May 26, 2026 12:59 pm CST