Datasets are becoming bigger and more unwieldy, and as they do, they are susceptible to greater copyright challenges and activism as well as security issues. As AI becomes more mainstream, some organizations are turning to synthetic data to train tomorrow’s AI and machine learning models. But how mature is this practice? Is synthetic data up to the challenge of replicating real data, or is it just a sub-par substitute? In this episode, hosts Mike Vizard and Lee Baker are joined by Etienne Martin (Algola), Ram Ramamoorthy (ManageEngine/Zoho) and Ryan Berry (OneStream) to discuss the opportunities and obstacles around synthetic data, explore what’s state of-the-art in synthetic data and predict where it’s all going.