Custom Risk Assessment Engine: Transforming Insurance Underwriting Through Semantic Data Processing
The Challenge
The client had licensed a SAAS product for risk assessment and underwriting calculations but found it insufficient for their complex business requirements. The existing solution lacked the flexibility and semantic understanding needed to perform sophisticated risk calculations across diverse data types and sources. Traditional string-based comparisons were proving inadequate for the nuanced risk assessment models the company needed to remain competitive in the insurance market. The client required a more intelligent system that could understand contextual relationships between different data points and perform accurate risk calculations across varied input formats.
The Solution
Building upon the proven anything-to-anything comparison methodology previously developed for McAfee's Security Configuration Comparison Engine, I architected a custom risk assessment platform that transformed textual data into semantic numerical representations.
The solution evolved the tokenization approach from simple configuration comparisons to sophisticated risk calculation engine:
The platform utilized a multi-tiered approach:
Technologies Used
Project Details
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