Optum, Inc.

Innovaccer Inc.

Shubham Gupta

Vibhuti Agrawal

Indranil Basu

Aravind Brahmadevara

Satishkumar Dontamsetty

Paras Gupta

Rishika Khandelwal

Sparsh Dutta

A method and a system for generating required feature output by providing a FaaS (Function-as-a-Service) based feature library using a DAG (Directed Acyclic Graph), are disclosed. A library is configured to store logic codes being generated for a plurality of features and the library is then deployed on a FaaS engine. At least one feature selection configuration from a user is received by the FaaS engine. The DAG implements at least one transformation based on the at least one feature selection configuration, and the FaaS engine thereby generates the required feature output for the user.

Method and system for providing FaaS based feature library using DAG

Embodiments of the present disclosure provide for improved mapping from sequential semi-structured data of a first custom data format to a second custom data format. The improved mechanism for mapping between custom data formats significantly reducing the amount of manual effort otherwise used for creating mapping rules. Example embodiments utilize a state extractor model that extracts an untrained modified finite state machine embodied by a skeleton set of extracted states from particular sequential semi-structured input data, and generate a trained modified finite state machine that maps the first custom data format to the second custom data format based at least in part on the untrained modified finite state machine, sequential semi-structured input data of the first custom data format, and database structured output data of the second custom data format. The trained modified finite state machine may be used for subsequent processing data of the first custom data format.

Apparatuses, methods, and computer program products for improved data format conversion for semi-structured data

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Bhopal, India

Shubham Gupta