Extending lambda architecture for continuous decisioning
We demonstrate how – with the addition of a single processing layer – lambda architecture can be generalized and extended for continuous decisioning, providing the same benefits of batch- and stream-processing that standard lambda architecture provides to real-time analytics, as well as providing a continuous feedback mechanism relevant for all applications.
Credit card fraud detection with Kamanja
We discuss the problem of fraud on a broad scale, and then focus on credit card fraud detection, including supervised and unsupervised learning. Then we review current credit card fraud detection solutions, and explore the part LigaData’s Kamanja decisioning engine can play in a detection system.
Combat cyber attackers by handling threat intelligence quickly and effectively with LigaData’s detection and response products.
All our products can interface with the latest open source or existing legacy systems.
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