公开(公告)号：US20210027218A1

公开(公告)日：2021-01-28

申请号：US16523220

申请日：2019-07-26

Applicant: Bank of America Corporation

Inventor： Susheel Chiluka ,  Pushparaj Sathyanatha ,  Kishore Kumar Selvapathy ,  Shally Behl ,  Pavan Kusuma ,  Maitreya Sinha

IPC: G06Q10/06 ,  G06N20/00 ,  G06N5/04

Abstract: Aspects of the disclosure relate to dynamically analyzing data feeds to prioritize and execute actions. A computing platform may receive, from data feed source computer system(s), data feed source information. The computing platform may receive, from a data analyst computing system, risk prioritization information associated with the data feed source information. The computing platform may process, using an artificial intelligence data processing engine, the risk prioritization information to compute a weighted risk prioritization value. The computing platform may generate, using a dynamic analysis output module, based on the weighted risk prioritization value, an output command for the enterprise system(s), and transmit the output command to the enterprise system(s), which may cause the enterprise system(s) to execute at least one action associated with the data feed source information.

公开(公告)号：US20240177243A1

公开(公告)日：2024-05-30

申请号：US18058832

申请日：2022-11-25

Applicant: Bank of America Corporation

Inventor： Durga Prasad Kutthumolu ,  Susheel Chiluka ,  Saravana Kumar PD ,  Yegappan Alagappan ,  Ravikanth Tadepally ,  Navin Singh

IPC: G06Q40/12 ,  G06T13/40

CPC classification number: G06Q40/12 ,  G06T13/40

Abstract: Aspects of the disclosure describe methods and systems involving separate, parent (e.g., public) and child (e.g., private) metaverses with varying confidentiality and access privileges for auditor users, financial analyst users, regulatory users, and other virtual reality/metaverse users to interact in a fully immersive, real-time manner (e.g., using an immersive query modulation engine) to fulfill audit and regulatory reporting requirements, including extracting information from heterogeneous data stores, recordkeeping of audit responses for regulatory purposes, and maintaining access privileges of varying user profiles.

公开(公告)号：US20230153139A1

公开(公告)日：2023-05-18

申请号：US17528767

申请日：2021-11-17

Applicant: Bank of America Corporation

Inventor： Jai Kumar Sethi ,  Ruchi Mathur ,  Susheel Chiluka ,  Prashant Khare

IPC: G06F9/455 ,  G06N3/04

CPC classification number: G06F9/45558 ,  G06N3/0472 ,  G06F2009/4557 ,  G06F2009/45566

Abstract: Aspects of the disclosure relate to a cloud-based parallel processing and cognitive learning computing platform. A computing platform may receive query data comprising a plurality of requested metrics. The computing platform may select a secondary node to process the query request from a plurality of secondary nodes of the computing platform. The computing platform may send the query request to the secondary node. The computing platform may send a request to generate a metric mapping table for a first requested metric to a cognitive learning module of the computing platform. The cognitive learning module may generate the metric mapping table for the first requested metric using neuron clusters that comprise a plurality of unique programmable quadratic function neurons. The computing platform may calculate a value for the first requested metric based on the metric mapping table.

公开(公告)号：US20250159072A1

公开(公告)日：2025-05-15

申请号：US18505687

申请日：2023-11-09

Applicant: BANK OF AMERICA CORPORATION

Inventor： Rajalakshmi Arumugam ,  Anjali Niskeode ,  Raman Natarajan ,  Revathi Satya Kishori Kolluri ,  Susheel Chiluka ,  Malini Jeyaseelan

IPC: H04M1/72436 ,  G06N20/00 ,  G06V30/10

Abstract: Systems, computer program products, and methods are described herein for dynamically determining procedures for electronic communications using cellular automaton processing. The present invention is configured to identify at least one enquiry message; determine, based on the an enquiry message(s), a case type(s) associated with the enquiry message(s); trigger an intelligent classification component, wherein the intelligent classification component is configured to determine a procedure(s) for the enquiry message(s); trigger a cellular automaton engine which comprises an array of a plurality of cells in a grid-based structure, and wherein the cellular automaton engine is configured to select and perform at least one procedure for the enquiry message(s); determine, by the cellular automaton engine, a best procedure based on the selection and performance of the procedure(s) for the enquiry message(s); and generate a response(s) for the enquiry message(s) based on the determined best procedure by the cellular automaton engine.

公开(公告)号：US12282790B2

公开(公告)日：2025-04-22

申请号：US17528767

申请日：2021-11-17

Applicant: Bank of America Corporation

Inventor： Jai Kumar Sethi ,  Ruchi Mathur ,  Susheel Chiluka ,  Prashant Khare

IPC: G06F8/77 ,  G06F9/455 ,  G06N3/04 ,  G06N3/047 ,  G06N3/098

Abstract: Aspects of the disclosure relate to a cloud-based parallel processing and cognitive learning computing platform. A computing platform may receive query data comprising a plurality of requested metrics. The computing platform may select a secondary node to process the query request from a plurality of secondary nodes of the computing platform. The computing platform may send the query request to the secondary node. The computing platform may send a request to generate a metric mapping table for a first requested metric to a cognitive learning module of the computing platform. The cognitive learning module may generate the metric mapping table for the first requested metric using neuron clusters that comprise a plurality of unique programmable quadratic function neurons. The computing platform may calculate a value for the first requested metric based on the metric mapping table.