The Case Study
In this case study we discuss the creation of high-quality synthetic time-series datasets for one of the largest financial institutions in the world, and the methods we designed to assess the accuracy and privacy of our models and data.
The Gretel Solution
Learn how Gretel’s synthetic data can be as accurate, and in some cases even surpass that of real-world data used for machine learning classification tasks, while also providing strong privacy guarantees required to allow sharing inside a financial institution.
