Financial Technology
Anomaly detection is the process of identifying unexpected patterns or outliers in data that do not conform to expected behavior. This technique is crucial for uncovering fraudulent activities, errors, or significant changes in financial data, allowing organizations to respond swiftly to potential threats or risks. By leveraging statistical and machine learning methods, anomaly detection helps enhance data integrity and supports decision-making processes.
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