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An image that symbolizes the use of modern AI tools in the manufacturing industry - keywords Smart Manufacturing and Industrie 4.0
Artificial intelligence, AI, is regarded as an innovation driver for the optimization of production processes in various industries. It is widely assumed that AI enables manufacturers to increase production safety, productivity, and product quality – and it´s paving the way towards smart production. The big question, however, is how real added value can be generated through the use of AI and how to gather the required data. Here is an overview tailored to the needs of process engineers. In addition, you can book a free training session with our KI experts.
The image shows a production process which could be optimized with tools for explainable AI such as aivis by PerfectPattern.
It has already been proven many times: In production environments across a wide range of industries, artificial intelligence can help prevent process disruptions. Among other things, this increases productivity and efficiency, reduces waste, and saves carbon – enough reasons to take a closer look at AI in industrial production.
Bislang war es doch so: Wenn Produktionsexperten in der Industrie ihre Prozesse mithilfe von KI-Technologien optimieren wollten, mussten sie dazu Datenwissenschaftler ins Boot holen. Schließlich muss bei jeder datengetriebenen Fragestellung der Bogen vom Produktions-Know-how hin zu KI und Datenwissenschaft geschlagen werden.
We designed aivis for process engineers, who need to analyze the operational data from their production processes to gain the insights they need for improvement. They are process experts and have basic knowledge of data-driven production optimization, but usually, they are not data science experts.