The term real-time inference is particularly at home in the fields of artificial intelligence, automation, industry and Factory 4.0. It refers to the ability of computer systems to process incoming data immediately and react directly to it. In simple terms, "inference" means that an artificial intelligence (AI) makes intelligent decisions based on existing models - immediately, without delay.
An illustrative example: In a modern factory, cameras are used to continuously check products for defects. With real-time inference, the AI can immediately recognise when a production error occurs in the video images and stop production immediately or initiate corrective measures. Without this technology, the analysis would take much longer and faulty products could leave the factory.
Real-time inference is particularly important for companies that need to react quickly to changes - for example in quality control, predictive maintenance of machines or to detect cyber attacks. Thanks to this technology, processes can be made safer, more efficient and more economical. It is a key component of modern, digital business models.
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