The INETCO Insight machine learning engine is uniquely optimized for real-time payment data. Some of these optimizations include:
- A real-time data pipeline
- High speed transaction data store
- Real-time transaction tracing and end-to-end correlation
- Rules-based alerts engine
- On-demand analytics engine
- In-memory execution framework
INETCO Insight matches the right AI and machine learning algorithms to the problems and requirements outlined, such as cash forecasting, predicting card usage or customer buying habits, and scoring transaction risk in milliseconds. Self-learning machine learning algorithms are easily configurable and built on newer algorithms such as Isolation Forest and Gradient Boosting, incorporating seasonality, individual real-time transaction events and in-depth transaction data to increase precision. Both supervised and unsupervised machine learning algorithms are used in conjunction to assess the validity of a transaction.