Generating synthetic data on-demand and in any quantity
As machine learning becomes increasingly widespread, simulating real data is critical. Generating on-demand synthetic data gives you the ability to set specific scenarios and test the scalability of your algorithms. Altamira’s synthetic data approach extends the state-of-the-art generative modeling techniques by leveraging statistical and deep learning methodologies to generate arbitrary amounts of synthetic data that resembles donor data sets. Our approach fuses intelligent data preprocessing, generative adversarial networks, and conditional probability estimations to autonomously learn about data.