Architecting Data Infrastructure for Agentic AI: Real-Time Access Patterns
Автор: Dremio
Загружено: 2026-03-19
Просмотров: 14
Описание:
Agentic AI systems don't just query data, they reason over it, act on it, and loop back for more. That changes everything about how your data infrastructure needs to perform. In this session, Dremio's Christian Pfarr and Will Martin break down what it actually takes to architect a data lakehouse that can support real-time, multi-step AI agents, covering access patterns, latency requirements, and the architectural decisions that will determine whether your AI initiatives succeed or stall. Whether you're planning your first agentic use case or optimizing an existing pipeline, you'll leave with a clear framework for building infrastructure that keeps up with AI's demands.
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