<ul><li>The article provides insights into the real-world architecture and tooling required for AI in production.</li><li>Real-world AI systems require handling real-time data, which necessitates the use of streaming systems.</li><li>Choosing the right storage pattern for multi-modal AI data and utilizing batch and streaming processing are crucial.</li><li>Scalability in AI systems involves not just compute but also architectural considerations and the importance of monitoring for early issue detection is emphasized.</li></ul>

Streaming, Storing, Scaling: A Real-World Guide to Data Infrastructure for AI

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