A quick-service restaurant chain is utilizing AI to streamline delivery logistics and a global pharma company is training its machine learning models for use on its own servers. Cloud providers initially argued that the computing requirements for machine learning would be too expensive and cumbersome to start up on their own, but the field has since matured.
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