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AI for Predictive Machine Maintenance

AI (Artificial Intelligence)

Course Overview

Behind most operational problems sits a gap in AI for Predictive Machine Maintenance; closing that gap is what this course is for. In 5 days of structured sessions, delegates test the tools against cases from their own industries and leave nothing untried. The final afternoon is spent turning the week's material into each delegate's own 90-day plan.

What You Will Achieve

  • Explain the core principles and current good practice in AI for Predictive Machine Maintenance
  • Apply practical tools and techniques for AI for Predictive Machine Maintenance in your own organisation
  • Analyse real-world scenarios and select the right approach with confidence
  • Avoid the common pitfalls that undermine AI for Predictive Machine Maintenance in practice
  • Build a personal action plan to implement what you have learned

Who Should Attend

IT professionals, analysts, digital transformation leads and managers seeking to apply modern technology in their organisations.

Course Outline

  1. 01Setting the scene: AI for Predictive Machine Maintenance in today's organisation
  2. 02Key concepts and the language of AI for Predictive Machine Maintenance
  3. 03Frameworks and good practice that deliver results
  4. 04Hands-on application: workshop exercises and cases
  5. 05Problem-solving clinic: participants' real challenges
  6. 06Integrating AI for Predictive Machine Maintenance with day-to-day operations
  7. 07Reporting, metrics and demonstrating value
  8. 08Action planning: your first 90 days after the course

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