Pipeline-orientated AI is particularly at home in the fields of artificial intelligence, automation and industry and Factory 4.0. It describes a method in which various steps of an AI application are executed one after the other, as if on an assembly line. Each step takes on a specific task, for example collecting and analysing data and making a decision at the end.
Imagine you operate a modern factory. There, a pipeline-oriented AI automatically checks products for defects: first, a sensor collects images of products, then an AI analyses these images, searches for defects and sorts out the product if necessary. Each of these steps is precisely defined and always runs in the same way - just like a production line.
The great advantage of this method is that it works reliably and efficiently. Errors can be recognised more quickly, processes can be better automated and costs can be reduced. Pipeline-orientated AI is therefore particularly useful when defined processes need to be repeated and high precision is required. This is precisely what makes it a valuable component in modern industry and automation.
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