Bringing your ML workflows into production involves more than just having your model training and serving infrastructure in place. As an extension of DevOps best practices, MLOps includes not only CI/CD, but also continuous training (CT) and monitoring of data and model quality.
We will help you get up and running with state-of-the-art infrastructure and tools for productionizing ML workflows through workshops and close collaboration on a concrete use case.
Reach out to our account manager Toon
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