In the era of Generative AI and Autonomous Agents, data is no longer just a static asset—it is the dynamic fuel for intelligence. The Data + AI track explores the profound convergence where Apache’s battle-tested data infrastructure meets cutting-edge AI capabilities.

We focus on two critical evolutionary paths:

• Infrastructure for AI: How Apache projects are evolving to support the massive scale required by LLMs—covering vector retrieval, real-time RAG pipelines, and unstructured data governance.

• AI-Evolved Data Systems: How AI agents and models are redefining data engineering itself—from autonomous query optimization and self-healing pipelines to AI-native features within established projects.

This track is designed for engineers and architects who move beyond the hype. Join us to dissect concrete architectures, production-grade agentic workflows, and the future of open standards in building reliable, governed, and scalable intelligent systems.