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公开(公告)号：US20210406713A1
公开(公告)日：2021-12-30
申请号：US16913530
申请日：2020-06-26
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Sneha Padiyar , Nandini Rathaur
Abstract: A computing system aggregates information from a plurality of information channels associated with a computing device and a user of the computing device. A user configures the access for the computing system to specific information channels at a user interface. Based on a knowledge base and by machine learning techniques, the computing system analyzes the aggregated information to identify information relevant to an intelligent action for execution on behalf of the user. The computing system identifies the intelligent action in the context of the user's preferences and permissions granted to the computing system. The computing system initiates execution of the intelligent action based on a confidence level derived from analysis of information contained the knowledge base and historical decisioning information. The computing system receives feedback for an executed action and incorporates the feedback in the knowledge base for future decisioning based on aggregated information.
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公开(公告)号：US11176104B2
公开(公告)日：2021-11-16
申请号：US15954272
申请日：2018-04-16
Applicant: BANK OF AMERICA CORPORATION
Inventor： Sandeep Kumar Chauhan , Srinivas Tatikonda
Abstract: A system, computer program product, and computer-implemented method are provided for platform-independent data transformation. A data transformation module is provided, the data transformation module being configured to receive input data from a source application having a first data format, the input data to be transferred to a target application having a second data format, wherein the first data format and the second data format are different data formats; generate a matrix graph, using the data transformation module, to map one or more source fields from the source application to one or more target fields from the target application; based on the matrix graph, transform the input data from the first data format to generate output data in a second data format, wherein the output data is compatible with the target application; and transfer the output data to the target application.
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公开(公告)号：US20210303716A1
公开(公告)日：2021-09-30
申请号：US16831409
申请日：2020-03-26
Applicant: Bank of America Corporation
Inventor： Radha Janakiraman , Sandeep Kumar Chauhan
IPC: G06F21/62
Abstract: An illustrative computing system for securely managing security information receives a request for security information. The computing system acquires the security information associated with the user and embeds the security information in a user selected image. The computing system modifies the image based on a user selected identifier to scramble the location of pixels. The computing system encrypts and transmits the image. The computing system decrypts the image at the user interface. The computing system modifies the image based on the user selected identifier to descramble the pixels. The computing system displays the image at the user interface with a plurality of images for user selection. Based on the image selected by the user, the computing system extracts security information from the image. The computing system displays the requested security information at the user interface.
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公开(公告)号：US11121989B1
公开(公告)日：2021-09-14
申请号：US16887181
申请日：2020-05-29
Applicant: BANK OF AMERICA CORPORATION
Abstract: A cross-network interaction network for allowing cross-network real-time validation and interactions. The cross-network interaction network is set-up as a central location for managing interactions with resource exchanges between different real-time interaction networks. The real-time interaction networks are separate self-contained networks located within an area (e.g., country, or the like) or between different areas (e.g., different countries, or the like). Each self-contained real-time interaction network may have different systems, applications, processes, or the like that prevents the real-time interaction networks from allowing interactions outside of the real-time interaction networks. Consequently, the cross-network interaction network may set-up and utilize a messaging system, a clearing system, and/or a repository system to facilitate the interactions across the different real-time interaction networks.
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公开(公告)号：US20210081250A1
公开(公告)日：2021-03-18
申请号：US16569223
申请日：2019-09-12
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Sheetal Bhatia , Kritika Rai , Anuranjan Kishore
IPC: G06F9/50
Abstract: A resource allocation module may be configured to monitor an input queue of a cluster computing framework for a batch of one or more programs for processing. The resource allocation module parses commands in each of the one or more programs to determine an input/output (I/O) complexity parameter and at least one operation complexity parameter corresponding to each program of the one or more program files. The resource allocation module triggers execution of the one or more program files by a cluster computing framework via a network communication, wherein the cluster computing framework is configured based on the I/O complexity parameter and the at least one operation complexity parameter. Based on analysis of feedback from the cluster computing framework, the resource allocation module modifies a calculation for determining the I/O complexity parameter and/or a calculation for determining the operation complexity of the program files.
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Patent Agency Ranking
公开(公告)号：US10768956B2
公开(公告)日：2020-09-08
申请号：US16577048
申请日：2019-09-20
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Sasidhar Purushothaman
Abstract: A dynamic cloud stack testing system comprises a cloud network with cloud components and a cloud stack server coupled to the network. The server includes an interface, a memory, a cloud stack configuration engine, and a cloud stack testing engine. The interface receives a cloud stack request from a user device that includes functionality parameters. The memory stores historic cloud stack combinations. The cloud stack configuration engine identifies cloud components associated with the functionality parameters and determines a cloud stack configuration that incorporates them. The cloud stack testing engine determines a cloud stack configuration test. The cloud stack testing engine executes the test, and stores results and the associated cloud stack configuration in the memory.
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公开(公告)号：US10761920B2
公开(公告)日：2020-09-01
申请号：US15407624
申请日：2017-01-17
Applicant: Bank of America Corporation
Inventor： Vidhu Beohar , Sandeep Kumar Chauhan , Pinak Chakraborty
Abstract: Aspects of the disclosure relate to using natural language processing to identify a context of failure associated with a channel error and analyzing the identified context of failure in relation to historic data by machine learning algorithms to identify one or more of a severity ranking, alternate channel, and solution for the channel error. In some instances, a computing platform may receive data corresponding to a system event associated with a channel of server infrastructure, identify a technical issue, customer intent, and customer sentiment of the system event, determine a context of failure of the system event, generate a mapping of the context of failure in relation to historic data, and identify a suggested solution, severity assignment, and alternate channel for the system event based on the mapping of the context of failure in relation to the historic data.
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公开(公告)号：US20200153925A1
公开(公告)日：2020-05-14
申请号：US16747730
申请日：2020-01-21
Applicant: Bank of America Corporation
Inventor： Ankit Agarwal , Amol Patil , Shailender Dabodiya , Sandeep Kumar Chauhan
Abstract: An apparatus includes a scanner and a resolution engine. The scanner detects first and second software exceptions. The scanner also determines that the first software exception occurred previously in a plurality of desktops and that the second software exception did not occur previously in the plurality of desktops. The resolution engine determines a first solution and a second solution for resolving the first software exception and that the first solution has a higher ranking than the second solution. The resolution engine also generates a software patch that implements the first solution and deploys the software patch. The resolution engine further determines a series of steps implemented to resolve the second software exception and records the series of steps to prepare a second software patch if the second software exception occurs again in the plurality of desktops.
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159.发明申请公开(公告)号：US20190213398A1
公开(公告)日：2019-07-11
申请号：US16357615
申请日：2019-03-19
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Pinak Chakraborty , Vidhu Beohar
CPC classification number: G06K9/00288 , G06K9/00302 , G06K9/00335 , G06K9/00744 , G06K9/00771 , G06K9/6224 , G06T7/73 , G06T2207/30196 , H04L67/10 , H04L67/125 , H04L67/18 , H04L67/306
Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.
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160.发明申请公开(公告)号：US20180260615A1
公开(公告)日：2018-09-13
申请号：US15452310
申请日：2017-03-07
Applicant: Bank of America Corporation
Inventor： Sandeep Kumar Chauhan , Pinak Chakraborty , Vidhu Beohar
CPC classification number: G06K9/00288 , G06K9/00302 , G06K9/00335 , G06K9/00744 , G06K9/00771 , G06K9/6224 , G06T7/73 , G06T2207/30196 , H04L67/10 , H04L67/125 , H04L67/18 , H04L67/306
Abstract: A computing platform may receive video, audio, and/or biometric information of one or more people. The computing platform may identify the people based on a comparison of the video, audio, and/or biometric information to stored information in one or more user profiles each associated with the people. For example, the computing platform may compare multiple types of biometric information, including fingerprint, retina scan, facial features, and the like, as part of a process for identifying the people. The computing platform may further determine one or more interactions between the people, and, based on the interactions, determine and/or identify a relationship between the people. The identified relationships may further be used for confirming identifies of the people. Based on the identifications (e.g., biometric, video, audio, relationships), the computing platform may further provide access for the people to one or more services.
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