School of Informatics
It is currently impossible for a single person to analyse the large amounts of data that are collected and that describe complex processes, such as the manufacturing process for a product. Artificial intelligence (AI) allows us to use automated data analysis and machine learning to understand aspects such as which variables have what kind of impact on the manufacturing process and the quality of the final product.
The use of AI in industry has increased significantly in recent years. According to a survey by Capgemini, more than 50% of European industries are using AI for various operational purposes, followed by 30% in Japan and 28% in the US. Common applications for AI include quality control, maintenance, production planning, process monitoring and diagnostics, as well as individualised customer support.
The ability to work in a data-driven way, collecting large amounts of data and analysing it in real time, not only helps to save time and improve product quality but also offers an opportunity to reduce material costs and environmental impact.
Artificial intelligence encompasses a wide range of different technologies and methods. Which method gives the best results depends on the data available and the problems to be solved. It is also important to be aware of a method’s limitations and how to interpret the results delivered by the AI method.
The WISER course Applied Artificial Intelligence for Industry introduces AI methods that are representative of the field and commonly used in industry. The course is aimed at industry professionals who need to know more about how AI can be used in industry, and who want to get started with analysing data sets using AI.