DB2 Sessions: Room C first floor

Session Evaluation

A new era of applications focused around cloud and machine learning is becoming increasingly important in large enterprises. Kubeflow is an open source Machine Learning toolkits for Kubernetes. It also provides a platform for building, deploying, and managing multi-step workflows on Kubernetes (based on Docker containers). In this session, we will first walk through a sample application to train, serve, and test a ML model using Kubeflow. Then, we will illustrate how to leverage Kubeflow to create, invoke, and drop a database service.