Bank of America Corporation

Thenamudhan Arumugasamy

Madhusudhanan Krishnamoorthy

Prashant Anna Bidkar

Shilpi Choudhari

Anjani Mishra

Hitesh Chopra

Rajasekhar Reddy Patlolla

Sarvesh Neelakanta Subramani

Giddaiah Kummari

Systems, methods and apparatus are provided for an end to end control automation workflow using a distributed network. The data segregation layer may assimilate data from a variety of enterprise sources. A trust engine may validate the data from enterprise sources against enterprise security standards. The system may use a distributed network to validate the data from the various sources and populate a distributed hash table. The distributed network may be a Holochain&#xae; framework. The system may include an automation layer that uses robotic processing automation scripts to validate data against a system of record and flag exceptions. The automation layer may provide data to a user interface layer. The user interface may include an interactive dashboard for presenting a range of detailed reports.

Trusted control automation platform

A guided sampling tool guides the sampling of datapoints in large datasets. Generally, the guided sampling tool applies a machine learning algorithm to a database of historical issues encountered by an organization to guide the sampling of a large dataset. The guided sampling tool can evaluate and change provided variables and weights for performing a sampling. After the datapoints are sampled, the guided sampling tool compares the historic transactions represented by those datapoints to baseline images to determine if the historic transactions encountered a problem or issue, which would affect the overall quality assessment.

Guided sampling for improved quality testing

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Chennai, India

Thenamudhan Arumugasamy