There is no question that the worlds of artificial intelligence (AI) and large language models (LLMs) are rapidly converging with enterprise analytics. As organizations race to extract maximum value from their data, the need for a robust, scalable, and business-centric data architecture becomes increasingly more critical. At the heart of this evolution lies a transformative concept that has been around for a while now: the semantic layer.