Synthetic Data
Test Data Management: What it is & Why it matters in 2024?
Test data management (TDM) is a critical process in the testing lifecycle.
Dec 224 min read
Synthetic Data Generation in 2024: Techniques & Best Practices
Synthetic data is artificial data generated to preserve privacy, testing systems, or create training data for machine learning algorithms. Synthetic data generation is critical since it is an important factor in the quality of synthetic data; for example, synthetic data that can be reverse-engineered to identify real data would not be useful in privacy enhancement.
Feb 146 min read
What is Synthetic Data? Use Cases & Benefits in 2024
Developing successful AI and ML models requires access to large amounts of high-quality data. However, collecting such data is challenging because: As a result, businesses are turning to data-centric approaches to AI/ML development, including synthetic data to solve these problems.
Jan 187 min read