Artificial Intelligence for operators in an asset-intensive environment

In the future, you as an operator 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 range of tasks.

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

• Understanding what AI means and how it can be applied in maintenance and operations
• Understanding the impact of AI algorithms on quality, reliability and productivity
• Understanding what can be done today to prepare the work environment for the use of AI algorithms in maintenance and operations
• Understanding the importance of quality inputs in production systems for the (later) application of AI
• Understanding the impact of AI on your job as an operator

• Introduction to Artificial Intelligence (AI)
  • Some examples and concepts
  • 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
  • The different levels of data
  • Applications and examples: maintenance and production
• 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 an operator?
• What are the next steps?
• Conclusion

This e-learning is part of the ESF project vormAInt. Through this project, BEMAS and its partners want 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.