of BayesFraud Analytics. The results of implementing BayesFraud are compelling:
more attempted fraud is exposed, and claims costs and premiums are kept at a minimum.
This is the first HUGIN Video Tutorial. It explains how to load a Bayesian Network (the Chest Clinic example) and propagate some evidence in the model.
Our market leading solution provides insurers with advanced fraud detection capabilities for fast, proactive fraud detection. Discover how to protect your business and your customers from fraud by integrating the predictive computing power of BayesFraud in claims handling.
Using BayesCredit analytics, lending institutions can create customized solutions to analyze and identify credit default risk. Having the capability to accurately predict default risk enables lenders to reduce losses due to risk, and to grow their portfolios – and profits – with peace of mind.
A major mortgage lending institution in Denmark has been using BayesCredit analytics for over a decade to assess risk and achieve risk compliance. READ MORE
The BayesAML solution enables insurance companies, banks, casinos and other at-risk organizations to assess their customers, products and services according to risk. Implementing the real-time BayesAML tool, organizations can achieve a genuine risk-based approach to anti-money laundering that can assess customers and transactions and pinpoint those that are suspicious before money-laundering can be executed.
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