Automation and the need of CI/CD pipeline in machine learning development

Presented by: Lukas Gubo, MLOps Project Manager at Virufy
At: MLOps Salon: Building AI-Enabled Products
Our strategy is to deploy robust but explainable models. To achieve this we are using several open source tools to help us with model development. Many models would remain unused and not brought up to the production stage. Therefore, we count on these tools and are able to make a streamlined process of deploying models.
Target deployment is cloud since with on.prem we are tied to the hardware we have. Cloud provides the best environment for our inference and batch predictions. How do all these components tie together? Lets dive in into more details!