K-NN Machine L.
The Quantum API
Uses historical insurance settlements to maintain consistency
DISCOVER VALIDATE DELIVER LAUNCH ITERATE
The problem — Reliance only on the regulation leads into a larger indemnity spend. Besides, non consistent compensations can be used in courts to request a higher settlement.
The solution — A configurable endpoint that returns the most similar claims within the client database, compared to the market and adjusted to inflation.
The approach — Machine Learning K Nearest Neighbour Vector Algorithm that maps and finds the best claim matches and the compensation paid.
Technologies used
Data Bricks Data Lake
REST API Endpoint
Inflation Adjustment
Wireframes
Client UI consuming our API
Impact
Compensations average after processing +2,100 claims
