With 17 years in the gas transmission pipeline industry, Stuart Johnson has built a career focused on optimizing operations, planning and scheduling, asset management, and reliability-centered maintenance. His diverse experience—from daily field operations and corrosion control to enterprise asset management systems—provides a unique perspective on driving reliability, efficiency, and operational excellence.
As energy operators advance toward predictive maintenance and AI-enabled asset management, fragmented inspection data and inconsistent criticality models continue to limit progress. This panel explores how establishing a single, trusted source of truth across inspection and asset data enables more accurate, asset-specific criticality. Panelists will share practical approaches to improving data quality, strengthening analytics, and embedding risk into enterprise decision-making, ultimately helping organizations prioritize the right work at the right time, reduce downtime, and unlock scalable asset intelligence.
Check out the incredible speaker line-up to see who will be joining Stuart.
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