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Modern AI applications are built on more than just models — they rely on scalable, secure, and well-designed architectures.
“AI Foundry Architecture – Deep Dive” explores the architectural foundations behind building, deploying, and operating AI systems at scale. This session takes a closer look at key components such as model lifecycle management, data pipelines, inference layers, orchestration, security, and observability within an AI Foundry setup.
Through architectural patterns and real-world examples, developers and architects will learn how AI platforms are designed for reliability, performance, and governance. The focus is on understanding trade-offs, integration points, and best practices that enable teams to move from experimentation to production with confidence.
Perfect for developers, platform engineers, and architects who want a clear view of how enterprise-grade AI systems are actually built.