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Watch the entire Superstream: https://learning.oreilly.com/videos/d... What if your data pipelines could do more than just transfer information? In this Data Superstream session, watch as software engineer Scott Haines demonstrates how to transform traditional streaming systems into intelligent platforms where AI agents can act, learn, and improve over time. Using lightweight, configuration-driven architectures combined with MCP, Scott shows how to build systems that enable real-time interaction and persistent memory for agent-augmented workflows. Drawing from years of experience with tools like PySpark and Delta Lake, he presents hands-on examples where AI supports complex tasks—from generating test files to exploring vast data catalogs. You'll get practical strategies to reduce friction in your data stack, streamline operations, and effectively leverage large language models in engineering workflows, offering a clear roadmap for integrating AI into data systems. Follow O'Reilly on: LinkedIn: / oreilly Facebook: / oreilly Instagram: / oreillymedia BlueSky: https://bsky.app/profile/oreilly.bsky...