Synthetic Data Generation

Synthetic data generation is the process of creating artificial data that mimics the characteristics of real-world data, used to train and validate machine learning models, test software applications, and augment limited datasets. As the demand for high-quality training data grows, synthetic data generation is becoming increasingly relevant to the tech community, enabling startups to develop and deploy AI-powered solutions more efficiently and cost-effectively, while also addressing data privacy and security concerns.