As part of the Open Data Hub project, we see potential and value in the Kubeflow project, so we dedicated our efforts to enable Kubeflow on Red Hat OpenShift. We decided to use Kubeflow 0.7 as that was the latest released version at the time this work began. The work included adding new installation scripts that provide all of the necessary changes such as permissions for service accounts to run on OpenShift.
Continue reading Installing Kubeflow v0.7 on OpenShift 4.2
When it comes to the process of optimizing a production-level artificial intelligence/machine learning (AI/ML) process, workflows and pipelines are an integral part of this effort. Pipelines are used to create workflows that are repeatable, automated, customizable, and intelligent.
An example AI/ML pipeline is presented in Figure 1, where functionalities such as data extract, transform, and load (ETL), model training, model evaluation, and model serving are automated as part of the pipeline.
Continue reading “AI/ML pipelines using Open Data Hub and Kubeflow on Red Hat OpenShift”