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.

Updated data presentation. Labels like “(data not available)” and “(not set)” add clarity, helping you spot gaps and know where to take action. Proactive issue detection.