The term "cross-system AI integration" is particularly at home in the fields of artificial intelligence, digital transformation and Industry and Factory 4.0. It describes how artificial intelligence (AI) is integrated into companies in such a way that different technical systems can work together seamlessly.
Imagine a company that operates a production facility with many different machines, programmes and data sources. If each machine or software only works on its own, a lot of potential remains unutilised. Cross-system AI integration ensures that a central AI solution connects all systems with each other and exchanges data automatically. This opens up completely new possibilities for optimising processes.
One example: In a modern factory, production machines, warehouse management and quality control can communicate with each other via an integrated AI platform. The AI recognises independently when raw materials are running low, reorders them and adjusts production to current demand. Errors in production are recognised and rectified at an early stage.
Cross-system AI integration helps companies to work more efficiently, save costs and react more flexibly to changes. This makes AI a real added value for the entire company.
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