Essential data infrastructure patterns and architectures needed to support autonomous AI agents at scale, including storage, pipelines, and real-time processing.
AI agents have unique data infrastructure requirements that differ from traditional applications. They need access to real-time data, historical context, structured and unstructured information, and the ability to write back insights and decisions.
This session covers the essential components of agent-ready data infrastructure, including streaming data pipelines, event-driven architectures, vector stores, graph databases, and data governance frameworks that enable autonomous operation while maintaining security and compliance.
Role to be confirmed
Speaker details will be announced closer to the conference date.
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