Navigating uncertainties to ensure patient safety
Anti Money laundering
Use AI to monitor, trace and altert the illicit transactions. AI/ML algorithms analyse vast pools of data and raise a red flag if something is found such as unusual transactions or account activity that could be considered suspicious.Machine learning for AML strengthens rules with models, which further helps reduce high-volume, low-value alerts.
Artificial Intelligence and logistic regression improves fraud detection by combining supervised learning algorithms with unsupervised learning to the effect of gaining a better understanding of customers' behaviors. A better understanding of customers' behavior allows organizations to better identify and prevent unauthorized activity.
AI provides the ability to evaluate unstructured data about risky behaviors in the organization's operations. AI algorithms can identify patterns of behavior related to past incidents and transpose them as risk predictors. This traditionally requires intense analysis processes for financial institutions and insurers.