The term knowledge infusion in AI is at home in the categories of artificial intelligence, digital transformation, big data and smart data.
Knowledge infusion in AI means that artificial intelligence (AI) is specifically equipped with specialised knowledge or experience that humans normally possess. Instead of just learning from huge amounts of data like a student by memorising, an AI is also "infused" with direct knowledge. This can be rules, facts, industry knowledge or processes, for example.
An illustrative example: A chatbot in customer service should not only answer politely, but also solve complicated product questions. With knowledge infusion, the chatbot receives all the important information about the products and common knowledge from the field. This enables it to respond more precisely and quickly to questions - even if there was no similar question in the previous training data.
By combining learnt patterns and expert knowledge, AI becomes more reliable and flexible. Knowledge infusion in AI thus saves time, reduces errors and supports companies in the rapid implementation of their digital strategy. This results in a clear competitive advantage, especially in industries with a lot of specialised knowledge.
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