A comprehensive analysis of the technical, organisational, and human infrastructure required to deploy AI effectively in enterprise environments.
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.
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