Simplifies the process of applying machine learning by automating the selection, construction, and parameterization of machine learning models
This enables models to learn continuously from new data, improving their accuracy and adaptability over time
It supports classification (categorizing data into predefined classes) and regression (predicting continuous values) problems
These models provide insights into how decisions are made, increasing transparency
This allows for the integration of AI models into existing systems via RESTful APIs
This involves combining multiple machine learning models to improve prediction accuracy
Models automatically update in response to changing data conditions, maintaining their relevance and accuracy
Forecasts the future performance of loan accounts and detects potential NPL accounts based on the five C’s of credit (character, collateral, capacity, condition, and conduct of the loan accounts)
Provides a grace period for customers to proactively pay off their outstanding balance before investing the organisation's resources to contact them to make a
Predict the potential risk and likelihood of a current loan defaulting
Analyzes if the customer is a bad paymaster. If the customer is predicted to be a bad paymaster, the next best action of aggressive treatment (SMS, calls, P2P) and suspension/termination warning will be suggested to the officer
This allows for the integration of AI models into existing systems via RESTful APIs
This involves combining multiple machine learning models to improve prediction accuracy
Models automatically update in response to changing data conditions, maintaining their relevance and accuracy
Real-time guidance for agent based on efficiency, hyper-personalization and compliance
Empathy, tailored solutions based on debtors circumstances, building trust and cooperation