Artificial Intelligence for technicians in an asset intensive environment

In the future, you as a technician in your organisation will also have to deal with Artificial Intelligence (AI). It is therefore important to already get acquainted with the possible applications of this technology and the impact it will have on your job. 

This e-learning has been specifically created for technicians in an asset intensive environment.

• Understanding what AI means and how it can be applied in maintenance and operations
• Understand the impact of AI algorithms on quality, reliability and productivity
• Understand what can be done today to prepare the work environment for the use of AI algorithms in maintenance and operations
• Understanding the importance of maintenance data quality for the (later) application of AI
• Understanding the importance of quality maintenance intervention reports for the (later) application of AI
• Understanding the impact of AI on your job as a maintenance technician

• Introduction to Artificial Intelligence (AI)
  • Some examples and concept
  • Why AI now?
  • Myths about AI
  • Pioneers of AI
  • Applications and examples: machine learning
• Architecture - how does it work?
  • From data sources to the output of an AI model
  • Availability and use of data
    • What data is available today, and in what formats?
    • How much of this data is effectively used today?
  • The different levels of data
  • From raw data to usable data
  • Applications and examples: maintenance
• The Impact on People and their Jobs
  • Impact on the current job: will I be replaced by an intelligent robot? 
  • How can I contribute as a technician?
• What are the next steps?
• Conclusion

This e-learning is part of the ESF project vormAInt. Through this project, BEMAS, together with its partners, wants to offer a range of practice-oriented training courses to enable operators, technicians, managers and engineers in industrial production companies and other asset-intensive environments to make (better) use of Artificial Intelligence (AI) applied in maintenance and asset management. After all, AI makes it possible to predict upcoming failures, thus avoiding unplanned downtime and technical incidents.