Many financial institutions struggle with artificial intelligence projects that necessitate big data consolidation into lakes and warehouses. USP’s model generator enables banks, processors, acquirers and networks to rapidly create and adapt predictive machine learning models and business rules, leveraging data directly from payment flows.
Create and maintain predictive machine learning models within minutes
Streamline deployment of fraud strategies
Launch as a fully certified private offer via the Microsoft Azure Marketplace for automated deployment
Gain easy access to examine and analyze data, calculate scenarios and document key modeling steps
Get customized models and a vast array of community data to accelerate and improve the efficiency of your fraud management.
Benefit from network fraud intelligence and in-depth sector expertise of our data scientists and fraud analysts
Traditional machine learning technologies required specialist data science skills, preventing business users from directly inputting fraud prevention expertise or extracting data. USP’s model generator puts the power back into the hands of the business.
Create features, define coverage metrics and select candidate features in the workbench with automated analytics and results in publishing
Sustain relevance with static and adaptive features individually configured to maintenance plans
Comprehensively assess models with intuitive graphics
Build further models from a self-maintainable features library
Benchmark findings over an outside window and publish results with automated model training
Adjust models in real-time with control over incoming financial and non-financial events
Learn about our additional solution capabilities.
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