How Do Agentic Data Pipelines Work?

The first generation of data pipelines was built for humans. They moved data. They often broke. Engineers stepped in to fix them. While that world still exists, it now shares the stage with something far more demanding. Today, machines and AI systems are first-class consumers of data. The workload requirements are exploding, rendering the manually tuned, hand-patched pipelines woefully insufficient. Data-driven organizations require a new paradigm, one in which an army of specialized agents are at-the-ready to scale and adapt. Register for this episode of DM Radio to learn about the dawn of Agentic Data Pipelines. Host Eric Kavanagh will be joined by Sami Akbay, founder of Dagen.ai, who will explain why traditional pipelines are failing in the AI era. He'll give a presentation on the architecture of these dynamic pipelines, which employ Super-Agents that orchestrate an array of specialists. Attendees will learn: * Where LLMs fit into production data systems, and where they don't * Why memory + guardrails mark the difference between demos and production * How teams are going from prompt to production in hours, not weeks