Background to MLOps Tooling for Machine Learning Use of FIWARE within MLOps Use of Argo Workflows Verta AI monitioring Continuous Training, Continuous Integration, Continuous Development MLOps is trend which has emerged to facilitate the industrialization of AI models.
MLOps is trend which has emerged to facilitate the industrialization of AI models. It consists of implementing DevOps practices within a Machine Learning project. MLOps is a set of best practices to manage the AI models and data lifecycle.
The aim of this webinar is to present a methodology for implementing MLOps at scale within a Kubernetes architecture by leveraging FIWARE interfaces.
Learn how to create and manage Machine Learning pipelines with Argo Workflow. This talk will also showcase all the benefits of using CI/CD to automate AI models deployment into a production environment.
