Red Hat Blog: MLOps for edge AI: Preparing AI models for deployment at the edge

Together, the 4-part series will follow the full journey of an AI model, from the moment training finishes, through deployment to thousands of edge devices, platform and AI model lifecycle management at scale, and into the continuous cycle of monitoring, improvement, and redeployment that keeps the model accurate over time across a large fleet of devices.