IEML has the expressive power of a natural language and the syntax of a regular language. Its semantics are unambiguous and computable because they are an explicit function of its syntax. A neuro-semantic architecture based on IEML combines the strengths of neural AI and classical symbolic AI while enabling integration of knowledge through an interoperable computing of semantics.
The transition to a data-centric organization implies a change of culture and an evolution of management. All of a sudden, words and concepts become important, not only in communication and marketing, but also in production, which is no less digitized than the other functions of the company. In addition, the cultural change calls for more openness and communication between departments, branches, services and businesses. No good management without data management, and no data management without good metadata management. We thought that interest in semantics was reserved for cultural studis departments in American universities, but now it is a condition of business productivity!