We helped Argenta automate deployment and monitoring of their algorithms.
In collaboration with internal and external Data Scientists at Argenta, we have designed, built and tested an MLOps process. Our work simplifies deployment of predictive models and their monitoring in production.
Our solution, built on Kubeflow, allows Data Scientists to quickly industrialize a predictive model in a quick and easy manner, focusing instead on delivering business value. The framework automatically keeps track of active models, their performance, versions and serving.
Dashboard built on top of the system allows the team to have a quick overview of all models and runs.
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