The prevailing assumption that artificial intelligence can significantly reduce the need for semantic interoperability in business and accounting may be overly optimistic. While AI has the potential to bridge gaps created by missing semantic structures, its capabilities are not as extensive as many believe. The technology can assist in interpreting data and automating processes, yet it does not fully eliminate the complexities associated with semantic interoperability. Businesses must still navigate the intricacies of data interpretation and integration, which remain critical for accurate decision-making and operational efficiency. Therefore, while AI can enhance certain aspects of business operations, it cannot wholly replace the foundational need for a robust semantic framework in accounting and business practices.
Source: Finextra
