Accenture Global Solutions Limited

Jio Platforms Limited

Shikhar Srivastava

Nirav Sampat

Vinu Varghese

Balaji Janarthanam

Anil Kv Kumar

Saran Prasad

Anil Kumar

Elaine T Bombal

Peter S Carpenter

Arun Viswanath

Raghuram Velega

Basaveswara Kiran Dumpala

Shivam Runthala

Kunal Jaiwant Kharsadia

Narayan Sethi

Nirav Jagdish Sampat

A system for obtaining optimized regular expression may convert a received input data into a plurality of embeddings. The system may receive a generated regular expression corresponding to the plurality of embeddings, wherein the generated regular expression is at least one of an existing regular expression from a database and a newly generated regular expression. The system may parse the generated regular expression into a plurality of sub-blocks. The system may classify the plurality of sub-blocks to obtain a plurality of classified sub-blocks. The system may evaluate a quantifier class for each classified sub-block to identify a corresponding computationally expensive class. The system may perform an iterative analysis to obtain a plurality of optimized sub-blocks associated with a minimum computation time. The system may combine the plurality of optimized sub-blocks to obtain the optimized regular expression.

Automated generation and integration of an optimized regular expression

The present invention provides a robust and effective solution to an entity or an organization by providing a multi-threaded, fault tolerant, resilient, light weight and fast system () and method for an event streaming platform (). The system and method may also enable capability to process data in micro-batch fashion by providing augmented and rich Event Streaming Platform through a data receiver module (). The data receiver module () is a multi-processing system that facilitates a fast and reliable real time streaming of data feeds.

System and method of data receiver framework

Systems and methods for email validation are disclosed. The email validation includes transforming format of emails to a predefined format understandable the present system and application of text mining component on the transformed format. The email validation further includes obtaining details from a repository related to a historical pattern associated with an email validation requirement and a cognitive learning operation employed for the historical email validation to ascertain an outcome of the historical validation for similar emails. The email validation also includes predicting misdirection of the email and change in configuration of the email account based on the validation of the email.

Email validation

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Bengaluru, India

Shikhar Srivastava