Webinar – Predict before failure: Driving power reliability through advanced analytics and AI

How leading utilities are moving from reactive maintenance to predictive decision-making

Reliability depends on identifying risk before it becomes failure — and turning data into action before problems impact operations.

In this session, William McEvoy, Global Industry Principal for Power & Utilities, explores how leading power producers and utilities are using advanced and predictive analytics to improve reliability, reduce unplanned downtime, and support more proactive maintenance strategies. Drawing on real-world industry examples, attendees will gain practical insights into how advanced analytics is helping organizations detect issues earlier, prioritize actions, and scale reliability improvements across critical assets.

Attendees will learn how predictive analytics can reduce operational risk, support proactive maintenance, and scale reliability improvement across demanding generation fleets.

Key Topics We’ll Cover:

• Rethinking reliability in fast-start generation environments
  Learn why traditional maintenance approaches struggle in highly dynamic operating environments and how predictive strategies can help reduce operational risk
• Detecting issues before they become failures
  Explore how advanced analytics can identify emerging equipment problems earlier, providing teams with more time to plan and respond
• Turning predictive insights into operational action
  Understand the people, processes, and workflows required to transform predictive alerts into measurable operational outcomes with industrial AI
• Scaling predictive maintenance across an asset fleet
  Discover lessons learned from scaling predictive analytics across complex generation fleets and moving beyond isolated pilot projects
• Balancing reliability, availability, and performance
  Hear how leading operators are using predictive decision-making to reduce downtime, extend asset life, and improve overall fleet performance