The discipline of artificial intelligence (AI) deals with the development of systems that imitate the characteristics of human intelligence. The scientific community has been dealing with the term artificial intelligence, which was largely coined by John McCarthy, for about 60 years. In addition, progress in the field of machine learning (ML), which is considered a key technology for AI, is creating considerable potential and opportunities through AI.
Data Science is an applied, interdisciplinary science that combines knowledge and methods from fields such as mathematics, statistics, stochastics and various industries. Data science has existed since the 1960s and was synonymous with computer science at that time. The goal of data science is to create knowledge (values) from data, for example in order to optimize control and decision-making processes in companies.
The root cause analysis can, for example, find the cause of an unexpected error in production on the basis of machine data.
In the field of mechanical and plant engineering, predictive maintenance can be used to better predict machine failures and thus make it easier to plan maintenance and servicing.
The recognition of objects on images can be carried out with the help of image analysis. For example, cameras, X-ray or infrared devices can provide data in the form of images, which can be analysed for certain patterns, such as a scratch on a lens.