The term inference engine is firmly anchored in the fields of artificial intelligence, automation, big data and smart data. An inference engine is a central element of many AI systems. It helps to derive new information or decisions from existing data.
You can think of an inference engine as the thinking centre of an AI: It analyses data and rules that are available to it and draws conclusions from them. For example, an inference engine in online retail uses customer data and product information to decide which items to suggest to a buyer next.
Inference engines also play a major role in Industry 4.0. They can analyse machine data and predict when maintenance is required before a malfunction occurs - saving time and money. The decisive factor here is that the inference engine automates and accelerates decision-making processes because it processes large volumes of data at lightning speed.
Whether for recommendation management, in smart factories or when analysing large data sets - modern artificial intelligence would often be inconceivable without the inference engine.
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