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Every year, The RELIABILITY Conference® brings together the organizations doing the real work. The ones modernizing aging infrastructure, transforming maintenance cultures, and proving that reliability isn’t a buzzword but a measurable business advantage.

Reliability organizations today are not short of data—they are short of clarity. Modern gas turbines and rotating equipment generate vast amounts of operational data, yet translating that data into timely, confident decisions remains a persistent challenge. Engineers are often faced with multiple interacting variables, conflicting signals, and limited time to diagnose emerging issues. Artificial intelligence (AI) and machine learning (ML) offer a way to bridge this gap—not by replacing engineering judgment, but by accelerating it.

Regulatory compliance is often discussed as an operational responsibility, delegated to maintenance teams, safety managers, or compliance officers. But in reality, regulatory maintenance is a leadership issue, one that directly affects organizational risk, resilience, and long-term performance. When compliance fails, the consequences rarely remain confined to the maintenance department. Regulatory breaches can trigger operational shutdowns, legal exposure, reputational damage, and, in severe cases, safety incidents that reach the executive suite and boardroom.

One of the more interesting cases I discovered while visiting a customer was how Operator Rounds is being used in an older plant environment.

During my recent visit to a large plant in South Texas, I observed something remarkable: it felt like they were giving new life to an aging facility with a modern digital solution—without making a massive capital investment.