In this session, we will demonstrate how easy the data scientists and developers can productise their AI/ML models in an cost-effective and agile mode using Open Source projects such as KServe, Codeflare or OpenDataHub, accelerating the AI/ML adoption using multiple open source libraries and frameworks among other AI/ML suites, without worrying about the infrastructure or lock-in from public-cloud specific tools.

We will explore how OpenDataHub can offer organizations a way to rapidly adopt MLOps and deploy an integrated set of common open source and third-party tools to perform AI/ML modeling all of that in a managed cloud service providing AI as a service.

Finally we will demonstrate how to train, deploy and operate an AI/ML model using the most famous libraries and frameworks.