When you create a connected data model, dollar amounts and buying paths where fraud and viewability issues persist become viewable, versus a current model that only extrapolates on averages.

1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

Synthetic data — computer generated often by AI itself — can teach a model about scenarios that don't exist in the real-world information it's been provided but that it could face in the future.

Data governance issues can exist in organizations of any size, but if you don’t know much about data governance and how it works, that’s an indication of a potential issue.