Reliable AI depends not only on the power of models, the quantity of available data, or the ability to generate increasingly complex responses. It depends, even more importantly, on the quality of meaning that data can convey to the systems that use it. This is the core of the analysis proposed by Denodo , which identifies the shift from a purely data-driven to a semantic-driven approach as one of the key conditions for making AI more manageable, explainable, and consistent with the business context.