Igor Marinelli

In this candid rap talk, Igor Marinelli of Tractian diagnoses a critical problem facing maintenance: OEM dependency and the growing knowledge gap. He reveals a shocking statistic that average machine downtime has increased from 49 to 81 minutes, driven by proprietary data and an aging workforce that struggles to retain new knowledge.

The solution, he argues, lies in a new class of AI that doesn't just provide alarms, but automates root cause analysis by ingesting and analyzing equipment manuals and maintenance logs. The session is framed around the OODA loop (Observe, Orient, Decide, Enact) as a framework for enhancing decision-making. He demonstrates how this approach can empower technicians with specific, data-rich troubleshooting guidance—like the exact bearing and grease codes needed for a repair—to increase productivity by the 30% needed to offset the current labor shortage. The final takeaway: quality decision-making is everyone's responsibility, and AI is the key to closing the gap.