Quick guide: Integrating Watson Machine Learning with decision services

This tutorial explains how to connect an existing predictive model to a Watson Machine Learning model and use it within a decision service that validates loan applications.

Learning objectives

You will learn how to:

  • Create an empty deployment space in Watson Studio.
  • Configure a Watson Machine Learning provider in Decision Designer.
  • Upload a PMML model in Decision Designer and connect it to an existing predictive model.
  • Run a decision model that uses this predictive model.

Audience

This sample is designed for both technical and business users who want to leverage predictive analytics through machine learning in decision services using Decision Intelligence. It also demonstrates to data scientists and data engineers how Decision Intelligence can integrate machine learning models into decision-making applications.

Time required

15 minutes

Prerequisites

Before you begin, make sure you review the following resources:

You will also need access to the following environments:

  • Decision Designer: A web-based interface for developing decision services.
  • Watson Studio: A web-based platform for creating and deploying machine learning models.

Tasks