Torgrim Aas

Manufacturers are increasingly turning to predictive maintenance to eliminate unplanned downtime and improve asset reliability. By combining real time equipment data, machine learning models, and automated diagnostics, organizations can detect issues earlier, prioritize interventions, and empower teams with faster, clearer decisions. This workshop explores how workplace intelligence transforms maintenance from reactive to predictive, delivering measurable improvements in performance and resilience.

• Reduce unplanned downtime by identifying failure patterns early and scheduling interventions before breakdowns occur.

• Improve asset reliability through continuous monitoring and automated anomaly detection.

• Accelerate decision making with AI driven insights that surface root causes and recommend next actions.

• Strengthen maintenance execution by standardizing workflows and ensuring consistent response across teams and sites.

• Increase operational resilience by integrating predictive insights into daily planning, staffing, and production decisions.

Hosted by Cognite