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Easy entry to artificial intelligence

Source:Fraunhofer-Gesellschaft Release Date:2021-08-10 599
Industrial MetalworkingMetalworkingIndustrial Robots & Automation EquipmentSoftware & CNC SystemOthers
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A company does not necessarily need a qualified specialist in order to use artificial intelligence (AI). A Fraunhofer study shows another way that small and medium-sized companies can proceed.

ki-in-der-produktion-small.jpgArtificial intelligence helps optimize production processes and thus save money. However, small and medium-sized companies often lack the expertise to use this future technology. They can collect the necessary data, but fail to analyze it. Large cloud providers can help, because they offer simple digital tools that process large data sets and provide AI solutions. Experts speak of "machine learning as a service platform", which enables any company to use AI to develop models that, for example, automatically detect faulty work pieces.


But which platform is suitable for which task? The Stuttgart-based Fraunhofer Institutes for Production Engineering and Automation and for Work Management and Organization compared the approaches of the four largest providers –AWS, Google, IBM, and Microsoft – and found that the solutions from all providers show strengths and do not require in-depth specialist knowledge. Of course, there are some differences. Some platforms are more intuitive than others are. And some AI models only run on the provider's cloud while others can be exported and installed on a company's own servers.


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