Top 10 Synthetic Data StartupsMaking a Mark in the Tech Sphere

Designing good data-driven models hugely depends on the quality of data. Well, data is a set of numbers, and shouldn't bother the developers much. As they say, the devil lies in the details, real data comes with a set of issues like imbalanced classes, inherent biases, unstructured values, etc. On the other hand, synthetic data provides the developers with the flexibility of scalability of data and freedom from biases, opening a whole lot of possibilities for creating a model that doesn't exist in the real world. In addition, synthetic data holds the benefits of protecting user data privacy all while giving the freedom to experiment with.