Emc IP Holding Company LLC

Shishir Choubey

Parmeshwr Prasad

Rahul Gupta

Methods, apparatus, and processor-readable storage media for automatically purging data using a deep neural network are provided herein. An example computer-implemented method includes training a neural network model using multiple types of attribute data and job-related data associated with historical workflow data maintained within multiple data structures of an enterprise system; dynamically analyzing workflows derived from the enterprise system, wherein dynamically analyzing the workflows comprises determining the multiple types of attribute data for the workflows and processing job-related data associated with the workflows into multiple data structures within one or more databases; applying the neural network model to the determined attribute data; and removing at least a portion of the multiple data structures from the one or more databases based at least in part on the application of the neural network model to the determined attribute data.

Automatically purging data using a deep neural network

Methods, apparatus, and processor-readable storage media for machine learning techniques for automated processing of workflow approval requests are provided herein. An example computer-implemented method includes generating a machine learning model for workflow approval requests, wherein generating the machine learning model comprises automatically learning temporal-based patterns from historical data related to previous workflow approval requests; generating, in response to an additional workflow approval request, an output value by applying the machine learning model to input data related to the additional workflow approval request; comparing the output value to at least one predefined threshold value; and automatically rejecting the additional workflow approval request responsive to a result of the comparing of the output value to the at least one predefined threshold value.

Machine learning techniques for automated processing of workflow approval requests

Methods, apparatus, and processor-readable storage media for request approval using blockchain technology are provided herein. An example computer-implemented method includes initiating creation of a blockchain network comprising multiple devices corresponding to required sub-requests configured for a particular request for approval transaction; implementing, at a given one of the devices, a distinct block in the blockchain network, wherein the block comprises cryptographic information pertaining to the particular request for approval transaction, a decision value for one or more of the sub-requests, and a count of the cryptographic tokens remaining in the blockchain network; broadcasting, from the given device to the remaining devices, information pertaining to the block; removing at least one cryptographic tokens from the blockchain network in response to each implemented block that corresponds to approval of a required sub-request; and granting the particular request in response to removal of all of the cryptographic tokens from the blockchain network.

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Bengaluru, India

Shishir Choubey