Explore a modern AI architecture that bridges Symbolic AI and Non-Symbolic AI through this conference talk from the Linux Foundation. Learn how to integrate Large Language Models (LLMs) with Decision Model and Notation (DMN) using Drools, Spring Boot, and the MCP Protocol to create powerful, guardrail-enabled enterprise systems. Discover practical solutions for enterprise architects facing the challenge of harnessing LLM flexibility while maintaining structure, compliance, and explainability. Understand how to combine rule engines with LLMs to build AI systems that leverage both symbolic reasoning and generative AI capabilities, all built on open standards for maximum interoperability and transparency.