Everyone talks about AI strategy. Few talk about AI infrastructure. Not the servers and GPUs — the organisational infrastructure. The data pipelines, the governance frameworks, the feedback loops, the human oversight systems.
Building AI that works in a lab is engineering. Building AI that works in an organisation is architecture. The difference is everything that surrounds the model: the data it consumes, the humans it serves, the systems it integrates with, and the governance that ensures it behaves.