Description
In this hands-on course, you will learn to make (better) use of Artificial Intelligence applied in maintenance and asset management.
In the future, you will also have to deal with Artificial Intelligence (AI) in your organisation. It is therefore important to get acquainted now with the possible applications of this technology and its impact on your tasks.
Recommended audience
Maintenance managers, asset managers, reliability and/or maintenance engineers, service managers, ICT managers, group maintenance and reliability coordinators, operations/production managers, 1st line managers and executives
You will learn
This one-day training will present the building blocks and terms for you, as a maintenance or reliability manager, to successfully introduce AI into your organisation. We touch on technical aspects such as software and data but equally on the organisational and human impact of AI, as well as identifying business cases for AI and assessing your organisation’s maturity around AI.
Learning objectives
- Understanding what AI means and how it can be applied in maintenance and operations
- Defining some AI analysis techniques and commonly used terms in AI
- Understanding the :
- different maturity levels of applying AI
- impact of AI algorithms on quality, reliability, and productivity
- possibilities of data capture
- importance of maintenance data quality/quality maintenance event reports
- importance of cyber security and data security and how this can be addressed
- Learning to identify and select potential AI cases
- Understanding the :
- elements of a business case for the implementation of an AI project in maintenance
- stakeholders in an AI project
- impact of AI on your team
- Understanding how AI can support our business
- Understanding what it takes to implement an AI project
- Learning how to monitor and maintain AI models
Course duration
1 Day