The leap from a "hello world" AI agent to a production-ready system is a massive data challenge. Autonomous agents are coming your way, and it's up to you to figure out how to get your data stack ready for production.
In this live session, we'll build a high-velocity data pipeline for AI agents from scratch. Starting with the fundamentals of a strong data storage foundation, we'll walk through every layer end-to-end. We'll cover real-time data ingestion, vector storage, retrieval, orchestration, and inference.
In this session you’ll learn:
- How to build a production-ready data storage pipeline for AI agents
- The foundational decisions IT, Data, and AI teams need to make to handle "context lag" and memory before the first agent goes live
- A practical framework for assessing whether your current infrastructure is ready to support AI agents at scale
ashduong
Updated 2 days ago