Your data science team just built a model that could cut fulfillment errors in half. Then IT tells you the servers can't handle the training load, and the project stalls for three months. This happens more often than leadership expects, and it's rarely a talent problem. It's an infrastructure problem. Growing companies often reach a point where on-premises systems or basic cloud setups weren't...
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