AI systems depend on high quality context, well prepared data, and the infrastructure that connects them. The AI and Context track focuses on the practical foundations required to make AI work reliably in enterprise environments. With sessions on preparing data for AI consumption, understanding LLM behavior from a DBA’s perspective, getting started with MCP servers as a context and connectivity layer, and making Fabric data ready for AI surfaces, this track equips data professionals to build the context frameworks, data preparation patterns, and operational foundations that modern AI workloads require.