As a Data Scientist, it is often difficult to know where to start your project. Do I test and build my model in an IDE? How do I connect to my resources such as streaming data or databases if I build and test my model in an IDE? How can I optimize my model inference performance? Once I have optimized my model how do I easily deploy and manage it? Plus what options are available for me to deploy onPrem or in a Hybrid cloud environment?

In this talk, @Audrey Reznik will discuss an easy way to build, test, train and deploy high performant models using a variety of platforms and tools created for OpenShift. The attendees will learn about what Open Datahub is, Red Hat OpenShift Data Science, and Managed Services.