Artificial Intelligence and Intelligent Fraud Detection
The Coalition Against Insurance Fraud estimate that frauds costs $80 billion a year across all lines of insurance. In a highly competitive industry reducing such a cost is an obvious path to improving profitability. Any reduction in fraud will directly impact an insurance company’s bottom line. Companies have invested into IT to streamline their claims processing. Sometimes an automated claim should merit human analysis and then question becomes how you determine the conditio
Matching Jobs with an Algorithm
I thought I would share with you one of the recent innovations we have been working on at Profium. The goal of this article is to initiate discussion about possible application areas for an algorithm we have developed (for example matching qualifications to jobs). Background to our work lies in a rule engine that we have developed at Profium. The rules we support are in the expressive power of Datalog. This means new facts can be inferred from existing facts with expressions
