When I say “synthetic” you might think of oil or fabric, but this article is about data. This information came to us from Unite.Ai in their article, “What Is Synthetic Data?”

Synthetic data is a new but quickly expanding trend and tool in the field of data science. It is comprised of data that isn’t based on any real-world phenomena or events, but rather is generated by a computer program.

The primary purpose of a synthetic dataset is to be versatile and robust enough to be useful for the training of machine learning models. Organizations often have difficulty acquiring large amounts of data to train an accurate model within a given time frame. Hand-labeling data is a costly, slow way to acquire data. Generating and using synthetic data can help data scientists and companies overcome these hurdles and develop reliable machine learning models in a quicker fashion.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.