A constant iterative feedback loop that delivers robust self-learning, continually optimizing the solution.
No need to provide known knowledge. Automatically list structural profiles found from large data together with business-orientated explanations.
Behavioral operational analytics and complete prediction modelling support to power business decision making.
Graphical explainable representations coupled with flexible design and GUI-based configurability.
Hybrid AI and machine learning platform provides predictive analytics for risk and fraud management in near real-time.
Employs both classic AI (declarative) and machine learning (non-declarative) with deep learning.
Classification, prediction, clustering, anomaly detection, etc.
Performs feature engineering, data cleansing, sample selection, training/testing and model selection, decision boundary definition, continuous model monitoring and tuning.
With advanced feature extraction from transaction streams provides data for prediction and structural profiling.
Rich visual images of structural profiles. Reasons analysis for explainable AI. View production evaluation results and drill-down. Monitor and view learning metrics like data drift.
Automated analysis to recognize and describe new data patterns/change based on past experience. Atypical behavior can relate to fraud or security issues.
