Instead of Models and GPUs, Focus on the Right Workloads for AI

The healthcare use cases for artificial intelligence continue to expand, from improving diagnostics for rare diseases to integrations with critical applications that ease clinical documentation burdens.  In connection to AI and data governance, much of the focus has been on which models are appropriate or the right number of graphics processing units, but the underlying issue is really whether organizations are ready to support and secure AI workloads. “Local computing, networking, security — all those elements are part of a hospital’s infrastructure that is leveraging AI as a normal…