Data is gold. It is the lifeblood of machine learning models. But what happens when the access is limited? Is this where synthetic data can step up? Tech Republic brought this interesting information to our attention in their article, “Synthetic data: The future of machine learning.”

Synthetic data is artificially generated by an artificial intelligence (AI) algorithm that has been trained on a real data set. It has the same predictive power as the original data but replaces it rather than disguising or modifying it. The goal is to reproduce the statistical properties and patterns of an existing data set by modeling its probability distribution and sampling it out.

In the past, a lack of data has led to the convenient approach of using a randomly generated set of data points. Although this may have been sufficient for educational and testing purposes in the past, random data is not recommended for the training of modern AI. This is where synthetic data is different: it is reliable data despite its artificiality.

Data Harmony is a fully customizable suite of software products designed to maximize precise and efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval, and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.