Synthetic Data | Top Trends In Analytics

Synthetic data is data generated by algorithms or rules, rather than being gathered from real-world events. By design, this data reproduces the same statistical properties and patterns of the real-world data from which it is trained. Synthetic data is increasingly being used to train machine learning models when real-world data presents challenges like privacy concerns, high costs, bias, and more. The user experience is typically on demand, self-service, or automated, enabling users to quickly generate high-quality, useable data for their analytics projects.

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