AI in the Manufacturing Industry

Guide for AI projects AI in the Industry: Turbo for Productivity and Quality

2024-07-16 A guest post by Matthias Puhr* | Translated by AI 7 min Reading Time

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Artificial intelligence is no longer a vision of the future in the manufacturing industry. It plays an important role in the digitalization and automation of processes, as well as in production and quality assurance. How can AI projects be successfully implemented?

The use of artificial intelligence is not only useful in quality control and production, but also in many other areas.(Image: Free licensed / Pixabay) — The use of artificial intelligence is not only useful in quality control and production, but also in many other areas.
(Image: Free licensed / Pixabay)

Artificial Intelligence can be described as a collection of mature technologies for detecting and analyzing complex relationships in data. For the industry, AI provides valuable services to digitize and automate processes. With AI methods, complex problems can be solved that have posed significant challenges to previous methods. In principle, AI can be used wherever data is available in sufficient quantity and quality. The more data collected and the better the data quality, the easier it is to implement AI applications. Another prerequisite is a suitable infrastructure to operate the AI application. In the industrial environment, production processes in particular lend themselves to the use of AI. This is because modern manufacturing plants collect and store numerous data, which can then serve as the basis for AI applications.

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