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Jet Detective retrains itself during off-peak hours with the available frequency (for example, once a day) and each time creates a new model taking into account the data received over the past period. Self-training makes the system effective when used in companies that do not have specialists in analyzing and processing digital data (Data Scientist). According to Jet Infosystems, customers will rarely have to turn to the integrator for help regarding the system’s operation — only in the event of significant deviations in the work from the expected results.

Used by a person who does not know programming languages ​​or the albania whatsapp data of mathematics, but who understands the chains of the company’s business processes and can guess where the links in them that are dangerous from a fraud standpoint are,” said Alexey Sizov, head of the fraud prevention department at the Information Security Center of the Jet Infosystems company.

Evgeny Kolesnikov believes that an important difference between the new development and the anti-fraud systems presented on the Russian market is the availability of analytical mechanisms for their modification, the ability to promptly change the decision-making rules, flexible scaling and a user-friendly interface that makes it easier for the operator to make the right decisions. In addition, Jet Detective, used as a platform, is able to import data from other models, different from PMML, for example, those built on the IBM SPSS Modeler platform.