Continuous Risk Management for the Insurance Market

Through configurable machine learning models, event processing and streaming analytics, Insurers can now deliver continuous risk control that previously had not be possible or affordable.

Why InsightEdge?


  • Build sophisticated algorithms to analyze driving patterns and predict the behaviors that are most likely to result in an accident.
  • Provide real-time feedback to influence driving behavior, communicating at the right time, on the right channel.

Fraud Detection

  • Take an enterprise decision management approach by combing predictive analytics and machine learning to recognize increasingly complex patterns of hidden fraud.
  • Apply business rules to capture emerging risk with no prior history.

Regulatory Risk

  • Measure the effects of risk-based capital markets requirements across future time horizons throughout the life of each exposure and across all portfolios.
  • Ingest real-time customer interaction data at high throughput to provide instant insights into customer segments.

Underwriting Optimization

  • Predict likelihood of preferred insurance class status across several classes.
  • Maximize underwriting profitability by targeting review process on underwriting loss avoidance.

Use Cases

Real-time Risk Reporting

Real-time risk result store: analysis of 12 billion messages to run risk exposure simulations in seconds

Telematics Spark Streaming

Ingest and analyze automotive sensor data across many streams and analyze patterns in real-time

Ready to give it a try?

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