JPM exploring synthetic data for AML, software engineering
JPMorgan is exploring the use of synthetic data to streamline its anti-money laundering and software engineering processes. Synthetic data refers to datasets that have been stripped of personal identifying information; developers can run simulations and test models on these datasets while avoiding biases and protecting original data, Deepak Paramanand, head of synthetic data product […]
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