公开(公告)号：US20240378668A1

公开(公告)日：2024-11-14

申请号：US18144338

申请日：2023-05-08

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Sharat Chandran ,  Arif Ahmad Khan ,  Durga Prasad Kutthumolu ,  Kapil Juneja ,  Arvind Bansal

IPC: G06Q40/04

Abstract: Aspects of the disclosure relate to a dual-system reconciliation process of trades. A first real-time trade processing and centralized reconciliation engine may continuously process trades in real-time and may perform centralized reconciliation of the trades. An anomaly detection and reconciliation mesh analysis engine may tokenize trade metadata received from the first real-time trade processing and centralized reconciliation engine, generate tokenized trade digital DNA, generate hashed tokenized trade digital DNA, evaluate and validate the hashed data, and perform decentralized reconciliation mesh analysis of the hashed data using a reconciliation mesh. The anomaly detection and reconciliation mesh analysis engine may send one or more monitory policies from the reconciliation mesh to a user device and may receive a first monitory policy selection from the user device. The anomaly detection and reconciliation mesh analysis engine may update the decentralized reconciliation mesh based on the first monitory policy selection.

公开(公告)号：US20220383136A1

公开(公告)日：2022-12-01

申请号：US17334191

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06N3/12 ,  G06Q30/02

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.

公开(公告)号：US11748630B1

公开(公告)日：2023-09-05

申请号：US17956381

申请日：2022-09-29

Applicant: Bank of America Corporation

Inventor： Kapil Juneja ,  Rajalakshmi Arumugam ,  Venkatesh Polneedi ,  Siddharth Sethia

IPC: G06N3/12 ,  H04L9/32 ,  G06N3/123

CPC classification number: G06N3/123 ,  H04L9/3213

Abstract: Systems, methods, and apparatus are provided for integrating access to third-party data using DNA computing. Requests for third-party data may be received from a plurality of applications. The request structure may be tagged with an NFT, linking the request to the originating application. DNA strands may be synthesized from the request structures and clustered based on the encoded attributes. A DNA cluster may be converted to digital data to generate an integrated request structure. Machine learning models may generate an extraction schedule using update information for each third-party vendor. A bot array may apply license credentials to access the vendors and execute an integrated request. An integrated response structure generated from extracted subscription data may be mapped back to the DNA strands. The DNA strands may be decoded to identify the original requests and responses may be transmitted to the originating applications using the NFT linkage associated with the requests.

公开(公告)号：US20220383135A1

公开(公告)日：2022-12-01

申请号：US17334086

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06N3/12 ,  G06Q30/02

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.

公开(公告)号：US11823066B2

公开(公告)日：2023-11-21

申请号：US17334329

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06Q30/02 ,  G06N3/123 ,  G06Q30/0202

CPC classification number: G06N3/123 ,  G06Q30/0202

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.

公开(公告)号：US20220383137A1

公开(公告)日：2022-12-01

申请号：US17334329

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06N3/12 ,  G06Q30/02

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.

公开(公告)号：US20240378614A1

公开(公告)日：2024-11-14

申请号：US18144353

申请日：2023-05-08

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Sharat Chandran ,  Arif Ahmad Khan ,  Durga Prasad Kutthumolu ,  Kapil Juneja ,  Arvind Bansal

IPC: G06Q20/40 ,  G06F9/451 ,  G06Q40/04 ,  H04L9/00

Abstract: Aspects of the disclosure relate to a dual-system reconciliation process of trades. A first real-time trade processing and centralized reconciliation engine may continuously process trades in real-time and may perform centralized reconciliation of the trades. An anomaly detection and reconciliation mesh analysis engine may tokenize trade metadata received from the first real-time trade processing and centralized reconciliation engine, generate tokenized trade digital DNA, generate hashed tokenized trade digital DNA, evaluate and validate the hashed data, and perform decentralized reconciliation mesh analysis of the hashed data using a reconciliation mesh. The anomaly detection and reconciliation mesh analysis engine may send one or more monitory policies from the reconciliation mesh to a user device and may receive a first monitory policy selection from the user device. The anomaly detection and reconciliation mesh analysis engine may update the decentralized reconciliation mesh based on the first monitory policy selection.

公开(公告)号：US20250061276A1

公开(公告)日：2025-02-20

申请号：US18449492

申请日：2023-08-14

Applicant: Bank of America Corporation

Inventor： Nitin Bansal ,  Kapil Juneja ,  Rajalakshmi Arumugam ,  Kumaraguru Mohan ,  Venkatesh Polneedi ,  Anil Garg ,  Gaurav Kumar Kashyap

IPC: G06F40/284 ,  G06F11/34

Abstract: A system for interaction pattern recognition receives an input primary interaction and accesses clusters indicating interaction group patterns. Each cluster includes a respective primary interaction and secondary interactions linked to that primary interaction. Each cluster is identified by a respective non-fungible token. The system then determines a non-fungible token of the input primary interaction, compares it to the non-fungible tokens of the clusters, selects a first cluster based on a match between the non-fungible token of the input primary interaction and a first non-fungible token identifying the first cluster, determines the secondary interactions in the first cluster as linked to the input primary interaction, retrieves the secondary interactions from the clusters, generates a recommended group of interactions including the input primary interaction and the retrieved secondary interactions, and provides the recommended group of interactions and an indication that the retrieved secondary interactions are linked to the input primary interaction.

公开(公告)号：US11823065B2

公开(公告)日：2023-11-21

申请号：US17334191

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06Q30/02 ,  G06N3/123 ,  G06Q30/0202

CPC classification number: G06N3/123 ,  G06Q30/0202

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.

公开(公告)号：US11823064B2

公开(公告)日：2023-11-21

申请号：US17334086

申请日：2021-05-28

Applicant: Bank of America Corporation

Inventor： Manmohan Singh ,  Shantanu Singh ,  Vineet Kumar Upadhyay ,  Madhusudhanan Krishnamoorthy ,  Amit Ohri ,  Ruchi Mathur ,  Kapil Juneja ,  Karishma Prithviraj Pamnani ,  Yudhit Mehta

IPC: G06Q30/02 ,  G06N3/123 ,  G06Q30/0202

CPC classification number: G06N3/123 ,  G06Q30/0202

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.