Artificial intelligence aims to optimize products and efficiency

The solution? Artificial intelligence aims to optimize products and efficiency

2025-02-07 Source: | Translated by AI 1 min Reading Time

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In the current difficult situation, according to Fraunhofer expert Peter Liggesmeyer, the German economy urgently needs to make progress in the use of artificial intelligence (AI).

The head of the Fraunhofer Institute ESE from Kaiserslautern urges companies to push digitalization. Time is running out, and certain deficits still need to be addressed...(Image: panuwat - stock.adobe.com) — The head of the Fraunhofer Institute ESE from Kaiserslautern urges companies to push digitalization. Time is running out, and certain deficits still need to be addressed...
(Image: panuwat - stock.adobe.com)

In a country with such a high wage level, Liggesmeyer, who heads the Fraunhofer Institute for Experimental Software Engineering (IESE), believes that AI methods are needed to increase efficiency. He currently observes that technology development in Germany is disappearing. He also fears that this phenomenon is not a flash in the pan. The software expert sees great potential for more efficiency, for example, in the use of language models that can be specifically tailored to the needs of a particular company. Software development could thus be handled faster and more effectively by addressing recurring standard problems in such processes with AI.

Still too much expertise in analog form

The goal, according to the IESE director, is a division of labor between automation and software developers. However, care must be taken to ensure that AI does not hallucinate, meaning work with falsehoods. He admits there is still work to be done on this point. In product development in the automotive industry, as well as in robotics or control technology, digital twins can also assist, according to Liggesmeyer. These twins allow various things to be tested with less effort, leading to products that are flexibly tailored to customers. However, a problem on the path to Industry 4.0 is still that much knowledge in companies is printed and thus exists in analog form in manuals. Digitizing these knowledge assets to utilize them is, for him, the first step.

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