The term knowledge infusion in AI is at home in the categories Artificial Intelligence, Digital Transformation, and Big Data and Smart Data.<\/p>\n
Knowledge infusion in AI means that Artificial Intelligence (AI) is specifically equipped with expertise or experience that humans normally possess. Instead of just learning from vast amounts of data through rote memorisation like a student, an AI is also directly \u201einfused\u201c with knowledge. This can include rules, facts, industry knowledge, or processes, for example.<\/p>\n
A vivid example: A customer service chatbot should not only reply politely but also solve complicated product queries. With knowledge infusion, the chatbot receives all important information about the products and common scenarios from practice. This allows it to respond more precisely and quickly to questions \u2013 even if there was no similar question in the previous training data.<\/p>\n
By combining learned patterns and integrated expert knowledge, AI becomes more reliable and flexible. Knowledge infusion in AI therefore saves time, reduces errors, and supports companies in the rapid implementation of their digital strategy. This creates a clear competitive advantage, particularly in industries with a lot of specialist knowledge.<\/p>","protected":false},"excerpt":{"rendered":"