Infosys Limited

Sameer Mahadeo Kolhatkar

Sudipto Shankar Dasgupta

Mayoor Rao

Navin Budhiraja

Arulkumar Gopalan

Milind Garge

Satish Swaminathan

Shital Mahajan

Rachit Gupta

A method and system of a data join includes capture of metadata information associated with one of semi-structured data and unstructured data. A flattened structure for one of the semi-structured data and the unstructured data is defined, and an entity is extracted from the unstructured data. Further, one of the semi-structured data and an entity extracted unstructured data are flattened based on the flattened structure, and flattened semi-structured data and flattened entity extracted unstructured data with relational data are joined.

System and method of data join and metadata configuration

A system for generating a plurality of surveillance and compliance scenarios includes a first user interface comprising a graphical modeling tool for writing fraud detection logic in a first language and a second user interface for creating one or more configurable threshold parameters, one or more general parameters, as well as one or more configurable subsets of filters to be applied to the detection logic. The system is configured to interpret the fraud detection logic in the first language and translate the fraud detection logic into a second language that is capable of performing the fraud detection on a subset of transactions data after application of the one or more configurable subsets of filters to the detection logic, as well as limiting a number of alerts that can be generated after application of the threshold and general parameters.

Composition studio to develop and maintain surveillance and compliance scenarios

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Pune, India

Sameer Mahadeo Kolhatkar