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It takes a lot of time, effort, and money to train a machine learning model. And yet a majority of models that are trained and developed never actually make it to production. What can be done to lower the cost and frustration of ML model development? Automation! Otherwise known as MLOps, it's modeled after the same practices as devOps that have led to faster code development at lower cost. In this video, David Adeyemi explains what got us here and where to go next.

#mlops #ai #watsonx #devops #machinelearning