The semantic layer is emerging as a critical infrastructure component for enterprise AI systems, serving as a bridge between raw data and AI applications. This architectural approach enables organizations to standardize data interpretation and improve consistency across AI deployments. According to the article, the semantic layer is increasingly recognized as foundational to building scalable and reliable enterprise AI solutions.