SAS^® Adaptive Learning and Intelligent Agent System Features

Rare event detection

• Combines state-of-the-art supervised machine learning algorithms, best practices and other fine-tuned techniques to detect fraud and other rare events.
• Supports exporting of models to SAS Model Manager.
  • Allows administrators to utilize the power of other SAS tools by publishing to SAS Model Manager, where other tools can access the model.
• Includes APIs that give you the flexibility to use other systems for record scoring, alert generation, classification and model retraining.

Transparency

• Includes a white box model and record scorecard to take the mystery out of machine learning.
• Delivers narrative, text and visuals for describing and interpreting models.
• Allows analysts and investigators to provide transparency into decisioning and explain why someone was identified as fraudulent.

Adaptive learning life cycle

• Creates an adaptive learning system that continually improves its ability to detect fraud and react rapidly to the emergence of new fraud patterns via integration with SAS Visual Investigator.
• Feeds triage results (e.g., alert productivity ratings) from SAS Visual Investigator back into the training data for training new models.
• Supports the entire analytics life cycle – from data, to discovery, to deployment.

Easy-to-use interface

Provides an intuitive visual interface that enables users untrained in data science to:

• Create models for detecting rare events by selecting:
  • Training data tables that include records classified for fraud.
  • Target column containing fraud classifications.
  • Values that indicate fraud. 
  • Model complexity.
  • Variables to exclude or include.
• Evaluate model effectiveness and select the appropriate alerting threshold.
  • Provides charts describing model accuracy. Compares values in the target column to the model’s classification of each record and charts the balance of false positives and negatives for each threshold.
  • Automates best threshold selection.
  • Lets you override the threshold with a threshold of your own.
  • Enables you to select a threshold and see the impact on false positives and negatives.
  • Supports multiple versions of a model.
    • Enables you to evaluate each model and alerting threshold prior to model deployment.
• Deploy models at the click of a button.
  • Automatically creates a set of jobs for generating scores and alerts.

Automated integration

• Automatically integrates with SAS Visual Investigator for scoring, alerting, triaging, refreshing training data and retraining models.