Resolution – Machine learning algorithms are able to detect, recognize and prioritize likely fraudulent activity. Fraud detection process using machine learning can be used to automate claims assessment and routing based on existing fraud patterns. Additionally, you optimize customer satisfaction by not challenging innocent claims. With AI based fraud detection system in place, fraudulent claims can be flagged before they are paid which would therein reduce the cost for payers.
Why CafeEDA – CafeEDA’s aim is to leverage AI in accurately predicting fraudulent behavior, it will automatically engineer and identify the individual reasons for why each fraud will occur. It empowers data science teams to scale by dramatically increasing the speed to develop highly accurate predictive models with lesser number of resources. CafeEDA includes innovative features including data ingestion from different data sources, data blending, data visualization, automatic machine learning and deep learning, model deployment and predictions, and interpreting the machine learning model built.