Awareness Training: Artificial Intelligence for Technical Executives
This pilot training 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 applied in maintenance and asset management. After all, AI enables the prediction of upcoming failures, thus avoiding unplanned downtime and technical incidents. In the future, your organisation will also have to deal with Artificial Intelligence (AI). Therefore, it is important to get acquainted with the possible applications of this technology and the impact it will have on your range of tasks.
BEMAS, in cooperation with several specialists in the field, has therefore set up an AI awareness training for managers. In this 1-day training, we will introduce the building blocks and terms for you as a (future) manager in maintenance and reliability to successfully introduce AI in your organisation. We will touch upon technical aspects such as software and data, but also the organisational and human impact of AI, as well as identifying business cases for AI and estimating the maturity of your organisation around AI.
Learning objectives
- Understand what AI means and how it can be applied in maintenance and operations
- Defining some AI analysis techniques and commonly used terms in AI, predictive analytics, and big data analysis
- Understand the different maturity levels of applying AI in maintenance and operations
- Understanding the impact of AI algorithms on quality, reliability, and productivity
- Understanding the possibilities of data capture
- Understanding the importance of maintenance data quality/quality maintenance event reports for the (later) application of AI
- Understanding the 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
- Understanding the stakeholders in an AI project
- Understanding the impact of AI on your team
- Understanding how AI can support our business
- Understanding what it takes to implement an AI project (in a safe way) but also to keep it in use
- Learning how to monitor and maintain AI models
- Submodule 1: Introduction to Artificial Intelligence (AI)
- What is AI/what is it not?
- Frequently used terminology
- Applications and examples from everyday life
- Applications and examples specific to maintenance and engineering
- Submodule 2: Maturity
- Technical equipment - sensors/data capture (high level)
- Data quality / availability
- IT (data management, security)
- Stakeholders/human skills (data science, business translation)
- Submodule 3: The business case
- Case vs. roadmap
- Identification of AI cases
- Elements of a business case
- Uncertainties
- Submodule 4: Implementation
- Cybersecurity
- (Process) safety
- Contingencies
- Impact
Method
By explaining practical applications of AI in the industry (quality control, defect detection, predictive maintenance, ...) and demonstrating how certain actions can be put into practice by means of examples and/or concrete advice, you can test and apply what you have learned in practice afterwards. In addition, the material learned during the training will be tested by means of a quiz.
Target group
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, and any technical profile with an interest in AI who is (in the future) in a leadership position.
Graag min. 14 dagen voor de start inschrijven. PO kan later bezorgd worden.
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