Designing Data Platforms for AI Agents — Not Dashboards

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​For years, our modern data platforms have been meticulously optimized for dashboards, analysts, and traditional machine learning. However, the rise of AI agents and LLM-powered applications introduces a fundamental shift. These agents don't think in SQL joins or aggregated reports; they require deep semantic and context understanding and the ability to reason across diverse data types. This session will explore the architectural transformations needed to evolve query-optimized warehouses into truly AI-native, reasoning-ready platforms. We'll delve into practical design patterns on Google Cloud that facilitate this evolution. If you're preparing your data systems for the next wave of AI, this talk will help you understand and create an actionable architectural blueprint for the future.

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​Takeaways

​(a) Why human-centric data platforms fail AI agent requirements. (b) Three architectural shifts to evolve from dashboards to agents . (c) A blueprint for proactive, autonomous data orchestration.

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​Speaker

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​Sathyaram Sannasi is a Google Developer Expert and a Data Engineer specializing in using Data and AI/ML for business outcomes primarily on Google Cloud Platform. As a freelance consultant, he partners with businesses to implement solutions that transform data into decisions and products.