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Synthetic data for next-generation fraud detection in banking
Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data [...] The post Synthetic data for next-generation fraud detection in banking appeared first on SAS Blogs.
Financial fraud is a high-stakes issue in banking, where schemes are becoming increasingly sophisticated and costly. As a result, detecting anomalies quickly and accurately is a top priority. But traditional data-driven fraud detection models face challenges such as data scarcity, privacy constraints, and model bias. This is where synthetic data [...]
The post Synthetic data for next-generation fraud detection in banking appeared first on SAS Blogs.
