Context Engineering for AI-Readiness: Unified Semantic Layers Unlocking Enterprise Data

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly AI-ready, the focus must shift to creating universal semantic architectures that support current analytics and future knowledge graph capabilities, including YAML- configured semantic layers and Graph-RAG implementations. This architectural approach is not just about data modeling; it is a critical necessity for enabling both business users and AI applications to access consistent, contextual enterprise data.