Large Language Models (LLMs) like ChatGPT struggle in specialist domains such as medicine, finance, and law due to lack of real understanding and focus on imitation rather than intelligence. Ontologies and knowledge graphs can provide a solution by offering a uniform representation of structure, data, and logic. They offer benefits such as explainability, reasoning and inference, consistency, and interoperability. In the banking industry, ontologies can improve specialization, provide an audit trail, enable explainability, ensure objectivity and standardization, and support automated financial planning and decision making.
Table of contents
The struggle of Artificially Imitated Intelligence in specialist domainsIntroductionArtificially Imitated IntelligenceWhy ontologies and knowledge graphs?Why use ontologies in banking?ExampleStructureDataLogicConclusionFuture ideas11 Impressions