Episode

Scaling your AI/ML practices with MLOps and Azure Machine Learning | Part 1

with Seth Juarez, Abe Omorogbe

AI Show

On this week's AI Show, Abe Omorogbe, Scott Donohoo, and Setu Chokshi stop by to talk about how to utilize AzureML MLOps capabilities to streamline the process of moving ML experiments from training to inference. They'll demo how AzureML can be used to securely train, deploy, and manage ML models in production environments and highlight practices the AzureML team has used to helped customers standardize on AzureML to scale their ML Ops practices.

On Part 1 of the Scaling your AI/ML practices with MLOps and Azure Machine Learning series, Abe Omorogbe gives an overview of MLOps and how to utilize AzureML MLOps capabilities to streamline the process of moving ML experiments from training to inference.

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