IBM Safer Payments 6.8: Modeling
WFSS - Financial Crimes and Conduct Risk · Industry
Course Overview
This course teaches IBM Safer Payments users how to perform model activity ranging from creating new profiles as an important input for statistical models and how to use the sandbox environment.
IBM Safer Payments is an innovative real-time payment fraud prevention and detection solution for all cashless payment types. IBM Safer Payments provides not only model capabilities based on inbuilt tools, but also the option to import externally built fraud models for real-time decisioning.
In this course, all of the IBM Safer Payments model capabilities are presented in details. The following modelling concepts are covered: index, profiling techniques (with aIBM Safer Payments is an enterprise fraud detection solution. It is a designed and focused on real time payment transaction processing. Safer Payments provides complex and dynamic rules building, evaluation and execution. Built with real time performance, management, and redundancy in mind.nd without index sequence), model components comprised of rulesets, PMML, Python and Internal Random Forest, elements of the simulation environment including Rule Generation and Internal Random Forest, as well as the sampling techniques. All these concepts will be followed by the hands-on exercises that students are expected to execute.
Who Should Attend
Fraud Analysts, Application and System Administrators), IBM Lab Services, IBM Support, Technical Pre-Sales, and IBM Business Partners
Prerequisites
• Must be familiar with Unix command line navigation and configuration actions • Some familiarity with statistical models • Knowledge in Fraud Prevention for cashless payments
IBM Digital Badge Available
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Course Details
- Course Code
- 6A830G
- Level
- Intermediate
- Duration
- 3 days
- Brand
- WFSS - Financial Crimes and Conduct Risk
- Category
- Industry
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