Organizations globally are operationalizing containers and Kubernetes to accelerate Machine Learning lifecycles as these technologies provide data scientists and software developers with agility, flexibility, portability, and scalability to train, test, and deploy ML models in production.

Data scientists can now accelerate Machine Learning workflows with H2O.ai Driverless AI / H2O Open Source and Red Hat OpenShift Kubernetes Platform.

Join this meetup to see the 5 easy steps to do automatic machine learning with Driverless AI on Red Hat OpenShift. Learn how we can help you achieve results and scale machine learning efforts and easily deploy models for enterprises.

Register today to secure your place, as space is limited.