Description
AI Buyer Guide for Synthetic Data Generation Platforms
Synthetic data generation refers to the process of creating artificially generated data that mimics real data but is produced through algorithms, simulations, or generative models rather than collected from actual events or measurements. Synthetic data is designed to replicate the statistical properties of actual datasets, making it a valuable tool for training, testing, and validating AI and machine learning (ML) models.
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