Why Synthetic Data Is Key For Your AI Project

Without abundant data captured from diverse data streams by means of products/services, it can be difficult for companies to create a conducive environment for data scientists to train their machine learning algorithms. While giants like Google and Amazon don't face issues when it comes to gathering data, other companies often have limited access to the datasets they need. Acquiring data is often an expensive endeavor which most companies cannot afford. This is why companies and researchers are now relying on synthetic data to train their algorithms. Synthetic data is lab-generated, artificially manufactured information which is neither obtained by direct measurement nor captured through any means.