Imagine a large regional healthcare provider that wants to make more data-driven decisions aligned to their mission of providing compassionate care. They start exploring AI initiatives to enable more personalized patient experiences and better patient diagnostics. The organization’s IT leaders have already adopted a hybrid multicloud architecture and experimented with some AI services in the cloud. However, as soon as they start to assess the infrastructure requirements for successful large-scale AI solutions, it’s clear that the healthcare system’s aging network is a limitation. They’re already struggling with application latency, so launching new AI applications would put further strain on the…

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