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Stay Ahead of Failures: Predictive Maintenance with AI

Machine learning helps maintenance teams spot problems early and avoid unexpected failures. With real-time data, it allows faster decisions and more efficient operations.

In this webinar, Jules Oudmans from UReason shows how these models work, including a live demo on how data can be turned into useful insights for better asset performance.

Key Topics Covered

  • Machine learning fundamentals and its role in modern maintenance strategies
  • How predictive models help identify failures before they occur
  • Key algorithms and tools used in machine learning for maintenance
  • Best practices for deploying and managing models in real-time environments
  • Live demo: applying machine learning models using APM Studio and KNIME
Webinar thumbnail with the text ‘Master Predictive Maintenance with Machine Learning’ and ‘Webinar,’ featuring a man wearing glasses on the right and the UReason logo on a dark background.
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Applying AI in Operations and Maintenance │ UReason Webinar

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