Improve the accuracy of detecting online fraudulent transactions to prevent losses and improve customer experience.
Fraud Detection
Predict fraud in order to take preventative action.
Compliance Documentation
Safeguard model governance practices and streamline independent model validation review by ensuring consistency of your documentation process with automatically and continuously generated detailed compliance documentation of the model building process and results.
Explainable Anomaly Detection
Identify which data points are highly unusual and what about them is different from the rest of the data. This can be helpful for creating new rules to find fraudulent activities.
Healthcare
Predict Overpaid Medical Claims (Fraud, Waste, Abuse)
Predict if a physician is submitting an overpaid claim based on historical data and the drugs they are prescribing.
Predict Patient Propensity to Have Certain Diseases
Supplement the existing medical diagnostic process to identify high risk patients that may be overlooked.
Predict Overpaid Medical Claims (Fraud, Waste, Abuse)
Predict if a physician is submitting an overpaid claim based on historical data and the drugs they are prescribing.
Customer
Customer Handling and Call Center Optimization
Improve customer experience and reduce handling costs; map the query by the customer to appropriate…
Customer Churn
Predict customer churn based on behavioral patterns and cadence of transactions; Identify leading indicators for churn
Fraud and Compliance
Check Fraud
Quickly and accurately detect fraudulent alterations (eg, counterfeit, forged) in bank checks
Transaction Fraud
Find new ways to improve fraud detection accuracy and detection time across multiple transaction fraud types
Anti-Money Laundering
Leverage ML to more accurately spot suspicious and criminal behavior; balance compliance and cost by assessing the risk
Manufacturing Use Cases
Predictive Manufacturing Design
AI based models can determine which combinations of variables are most likely to produce a positive result
Predictive Maintenance
AI based predictive maintenance uses a variety of data to determine which components should be replaced before they break
Supply Chain Optimization
AI models can be used to update resource plans, reroute inventory where it is needed, and streamline resource
Transportation Optimization
AI based transportation optimization leverages route information, weather data, fuel cost and other such factors
