Synthetic data is artificially generated information that mimics the patterns of real data without being drawn from actual records. It is used to train or test AI when real data is scarce, sensitive, or costly to collect. For instance, a bank might generate fake but realistic transactions to develop fraud detection without exposing customer information, though it must reflect real patterns to be useful.
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