Carol Lee Andersen

SLB technicians and reliability engineers need to protect production across complex assets, remote operations, and constrained maintenance teams. IBM and SLB will share how SLB is leveraging the Maximo Application Suite to move from asset risk identification to actionable maintenance decisions. Suite. This session will highlight the journey toward predictive and condition-based maintenance using embedded operational AI for visual inspections, health monitoring, risk-based prioritization, and guided work execution. 

• Takeaways:
  • Reduces downtime by translating asset risk into prioritized, proactive maintenance actions
  • Operationalize AI responsibly within trusted, human-governed workflows
  • Standardize maintenance practices across assets and sites while reducing technical debt
  • Improve workforce productivity and asset utilization through greater visibility and impactful decisions