How useful is Synthetic Data?

How Useful is Synthetic Data 

Can training data be useful to create outliers and novel use cases?
by Dr. Alea Fairchild, Constantia Institute, Belgium

Synthetic data is a type of data augmentation which involves creating new and representative data;  data that is artificially developed rather than being generated by actual interactions. We examine why it used and the impacts on cost, privacy, and testing.