Capitalize on Uncertainty Using Bayesian Network Technology
Bayesian networks combine sophisticated algorithms with modern
computing power to uncover new insight and model complex risk and decision problems where sound
analysis is needed, but where uncertainty exists. For the best possible predictions - use HUGIN software.
Identify Fraud, improve efficiency and reduce losses with the advanced computing power 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.
BayesAML – Comprehensive, Risk-Based Due Diligence
BayesAML is a genuine risk-based solution that can identify customers with high risk profiles
and high risk behaviors to protect insurers, banks, casinos and other at-risk entities
against attempts at money laundering and terrorism financing.
Bayesian Network analytics take the guesswork out of decision-making
Bayesian network software from HUGIN EXPERT takes the guesswork out of decision making. Our software helps clients discover insight and provides them with the predictive capabilities they need to effectively combat fraud and risk, achieve compliance and reduce losses for a better bottom line.
HUGIN has helped clients build and deploy customized solutions for proactive fraud detection, credit default prediction and identification of money laundering, and a long line of advanced decision support applications for commercial and academic use.
HUGIN Load & Propagate Tutorial
HUGIN Video Tutorial
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
BayesAML Anti-money laundering and anti-terror financing
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.