After the essential work of the data scientist is done, models need to be trained in full data sets, evaluated, packaged up for production, and then monitored while live. The automation of these steps and of the end-to-end process - MLOPS - comes in the footsteps of DevOps, but with added complexities. This session will compare and contrast DevOps and MLOps, and demonstrate the brand new official MLOPS v2 solution accelerator that simplifies putting an AI/ML prodution solution in place with Azure Machine Machine Learning and other Azure services.
João Pedro "jota" Martins leads the Azure AI Ranger team for EMEA and Asia, a team with deep AI/ML skills focused on helping Microsoft Azure customers bring their AI workloads to Azure.
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