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Discover how to build and scale agentic AI applications using Apache Iceberg-based open lakehouse architectures in this 17-minute conference talk from AWS re:Invent 2025. Learn to harness the power of agentic AI while avoiding common data management challenges through a practical blueprint for creating trusted, scalable AI systems. Explore techniques for fueling your lakehouse with real-time data streams, implementing robust data quality measures to ensure accuracy, and establishing a solid data foundation that supports AI agent operations. Master the design principles for systems where agents can seamlessly access and utilize both vector and relational data to enhance reasoning capabilities and execute complex workflows without performance bottlenecks. Gain insights into deploying and scaling data infrastructure specifically optimized for agentic AI applications, with practical guidance you can immediately apply to your own projects. This presentation is delivered by Qlik, an AWS Partner, providing industry expertise on modern data architecture patterns.
