Common Europe Congress 2019

One of the hottest topics in computing today is machine learning, or creating an 'artificial intelligence' to help analyze and categorize your data. Many businesses are inundated with large amounts of data, but don't know how to leverage it to draw new insights. In this session we cover how to set up open-source machine-learning software on your IBM i, either through Python packages that enable machine learning or offloading data and then run through a few examples on simulated data. These examples will be used to show how creating models to draw inferences on your data can lead to real benefits for your business's bottom line.


Learning Objectives:




1. Learn what options are available for machine learning on the IBM i.
2. Understand what machine learning is, and most importantly what it is not
3. Understand a basic example presented, and start to brainstorm about how inferencing might help their business.