Using machine learning to make better decisions

This tutorial guides you through the process of building and deploying a loan validation decision service using Decision Intelligence Client Managed Software.

Learning objectives

You will learn how to:

  • Create a predictive model and connect it to a Watson Machine Learning provider.
  • Integrate the model into a decision service that applies business policies and incorporates risk predictions.
  • Deploy the decision service and execute it using Swagger UI.

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

40 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