AI initiatives are creating an unprecedented demand for high-quality, real-time data. Every model, agent, and application depends on a constant flow of fresh, reliable information - and the traditional approach to hand-coding logic can’t scale at the same rate. This session explores how AI-first pipeline authoring, powered by declarative frameworks, enables teams to meet this new scale and speed. We’ll look at how declarative approaches let data engineers define intent rather than low-level logic, unlocking faster iteration, stronger governance, and easier integration with AI-driven tooling. Finally, we’ll share how data intelligence brings this vision to life, helping organizations build AI-ready data foundations with less complexity and more confidence.