New Money: A Systematic Review of Synthetic Data Generation for Finance
PositiveArtificial Intelligence
A recent systematic review highlights the potential of synthetic data generation in finance, showcasing how techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) can create artificial datasets that maintain the integrity of real financial data while addressing privacy concerns. This innovation is crucial as it allows financial institutions to leverage machine learning without compromising sensitive information, paving the way for more robust and secure financial applications.
— Curated by the World Pulse Now AI Editorial System


