
Synthetic Data Generation: Overcoming Data Scarcity in Analytics
Synthetic data is artificially generated information that mimics real-world data patterns without exposing sensitive details. It helps overcome data scarcity, privacy concerns, and bias issues inherent in real datasets. Advanced synthetic data generation uses generative adversarial networks (GANs) and variational autoencoders (VAEs). This data can be used for training machine learning models, testing analytics pipelines,…