AI Magic: Transforming Maintenance and Reliability at Wood with AI

SPEAKERS

Chris Topping Engineering Manager, WoodPLC

ABOUT THE SESSION

Chris Topping, Engineering Manager at Wood, brings deep expertise in digital engineering and a solid background in Flow Assurance. At the forefront of innovation, Chris leads initiatives that bridge engineering with cutting-edge digital solutions. At the upcoming event, he will share insights on how AI is revolutionizing maintenance and reliability processes at Wood. His session, titled "AI Magic: Transforming Maintenance and Reliability at Wood with AI," will explore real-world use cases and tangible benefits. 

He will share his views on how Wood has integrated AI into traditional workflows for maintenance, reliability, and sparing, driving significant improvements in operational efficiency. The session will explore how AI technologies are embedded into existing engineering practices to enhance decision-making and reduce downtime. Real-world use cases will be discussed in detail, each showcasing practical applications of AI and the key lessons learned throughout implementation. These examples will illustrate both the challenges and opportunities presented by AI adoption in complex industrial environments. A common use of AI in maintenance is for real-time anomaly detection, but Wood has expanded its use to include retrospective analysis. By looking back at historical data, the team uncovers insights that help shape better strategies and anticipate future needs more accurately. This forward-thinking approach enables proactive maintenance planning and smarter resource allocation. Attendees will gain an understanding of how data-driven insights can be transformed into actionable improvements. The session will also address the cultural and technical shifts required for successful AI integration. Overall, it will offer a valuable roadmap for leveraging AI to elevate maintenance and reliability outcomes.
 

Key Topics-

1. Discover how Wood has integrated AI into traditional workflows for maintenance and reliability as well as sparing. 

2. Use cases and the learnings from each use case on AIs application will be covered.

3. Often AI in the maintenance world is used for current anomaly detection, we will show how AI is used for retrospective analysis leading to better future decisions.

For more on this conference or to access the session, reach out to us at [email protected]. 

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