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1. 发明申请

US20220358928A1 VIRTUAL ASSISTANT HOST PLATFORM CONFIGURED FOR INTERACTIVE VOICE RESPONSE SIMULATION 有权
公开(公告)号：US20220358928A1
公开(公告)日：2022-11-10
申请号：US17874542
申请日：2022-07-27
申请人： Bank of America Corporation
发明人： Srinivas Dundigalla , Pavan Chayanam , Saurabh Mehta
IPC分类号： G10L15/22 , G06F9/451 , G06Q20/10 , G10L13/00 , G06F3/16 , G10L15/18
摘要： Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

2. 发明申请

US20220157323A1 SYSTEM AND METHODS FOR INTELLIGENT TRAINING OF VIRTUAL VOICE ASSISTANT 有权
公开(公告)号：US20220157323A1
公开(公告)日：2022-05-19
申请号：US17098652
申请日：2020-11-16
申请人： BANK OF AMERICA CORPORATION
发明人： Sandeep Verma , Pavan Chayanam , Srinivas Dundigalla , Nandini Rathaur , Rama Yannam
IPC分类号： G10L17/10 , G06N20/00 , G06F9/451 , G10L17/04
摘要： Embodiments of the present invention provide systems and methods for using machine learning to analyze and infer the contextual significance of a conversational language in order to proactively engage with one or more users in a familiar manner via a virtual voice assistant. As such, the systems and methods reduce redundancy of process steps for the user in accessing relevant information or initiating certain resource activities via disparate channels of communication by creating a continuity of conversational tone and substance.

3. 发明授权

US10999434B1 Artificial intelligence (“AI”) integration with live chat 有权
公开(公告)号：US10999434B1
公开(公告)日：2021-05-04
申请号：US16889953
申请日：2020-06-02
申请人： Bank of America Corporation
发明人： Ravisha Andar , Sushil Golani , Ashwini Patil , Ramakrishna R. Yannam , Priyank R. Shah , Pavan Chayanam , Yogesh Raghuvanshi
IPC分类号： H04M3/51 , H04M7/00 , G10L15/26 , G10L15/22 , G06N20/00 , G06N5/04
摘要： When a caller initiates an interaction with an interactive voice response (“IVR”) system, the caller may be transferred to a live agent. Apparatus and methods are provided for integrating automated tools into the interaction after the caller been transferred to the agent. The agent may determine which AI responses are appropriate for the caller. AI may be leveraged to suggest responses for both caller and agent while they are interacting with each other. Such human-computer interaction may shorten response time of human agents and improve efficiency of IVR systems.

4. 发明授权

US08983190B2 Dynamic service configuration during OCR capture 有权
标题翻译： OCR捕获期间的动态服务配置
公开(公告)号：US08983190B2
公开(公告)日：2015-03-17
申请号：US13965351
申请日：2013-08-13
申请人： Bank of America Corporation
发明人： Georgios Katsaros , Donald Werner Schoppe , Bryan Anthony VonCannon , Pavan Chayanam
IPC分类号： G06K9/18 , G06K9/46
CPC分类号： H04N1/41 , G06K9/00979 , G06K2209/01
摘要： Dynamically configuring OCR processing may include determining a device type and determining whether to perform optical character recognition (OCR) processing of the received image locally based on one or more OCR parameters. Example OCR parameters may include the device type, the image type, the size of the received image, the available amount of the memory, the measured/benchmarked throughput of OCR processing on the device relative to an OCR server throughput and network throughput, and/or the current level of network connectivity. If it is determined that OCR processing of the received image should be performed locally, the device may compute one or more name-value pairs corresponding to the received image and transmit the name-value pairs to a remote data server for processing.
摘要翻译：动态配置OCR处理可以包括基于一个或多个OCR参数来确定设备类型并确定是否对本地接收到的图像进行光学字符识别（OCR）处理。示例性OCR参数可以包括设备类型，图像类型，接收到的图像的大小，可用的存储量，设备上相对于OCR服务器吞吐量和网络吞吐量的OCR处理的测量/基准吞吐量，和/ 或当前的网络连接水平。如果确定接收到的图像的OCR处理应在本地执行，则设备可以计算与接收到的图像相对应的一个或多个名称 - 值对，并将名称 - 值对发送到远程数据服务器进行处理。

5. 发明申请

US20220012167A1 Machine Learning Based Test Coverage In A Production Environment 有权
公开(公告)号：US20220012167A1
公开(公告)日：2022-01-13
申请号：US16922227
申请日：2020-07-07
申请人： Bank of America Corporation
发明人： Sandeep Verma , Pavan Chayanam , Srinivas Dundigalla , Mohan Kakarla
IPC分类号： G06F11/36 , G06N20/00
摘要： Aspects of the disclosure relate to machine learning based test coverage in a production environment. A computing platform may retrieve, for a software application, first log data associated with a production environment, and generate a production navigational graph where a node represents a webpage visited by a user, and an edge represents a navigational link between two webpages. Likewise, second log data associated with a testing environment may be retrieved, and a testing navigational graph may be generated, where a node represents a webpage tested by a developer, and an edge represents a navigational link between two webpages. Then, the computing platform may generate a coverage graph indicative of a gap between the navigation activity and the testing activity. Subsequently, the computing platform may provide, via an interactive graphical user interface, the coverage graph, where nodes and edges of the coverage graph are associated with selectable visual objects.

6. 发明申请

US20210365353A1 Crash Simulator Device 有权
公开(公告)号：US20210365353A1
公开(公告)日：2021-11-25
申请号：US16880720
申请日：2020-05-21
申请人： Bank of America Corporation
发明人： Venkata R. Bhimireddy , Pavan Chayanam , Srinivas Dundigalla , Sandeep Verma
IPC分类号： G06F11/36 , G06F11/34 , G06N20/00
摘要： A crash test simulator device for re-creating a software crash scenario within a virtual environment using artificial intelligence processes to consider a large group of variables that may be relevant to the crash incident. The crash test simulator device includes a production environment monitoring engine configured to monitor a user's interaction with an application implemented within a production environment, and generate information used to re-create a crash incident within a virtual environment.

7. 发明申请

US20150049947A1 DYNAMIC SERVICE CONFIGURATION DURING OCR CAPTURE 有权
标题翻译： OCR捕获期间的动态服务配置
公开(公告)号：US20150049947A1
公开(公告)日：2015-02-19
申请号：US13965351
申请日：2013-08-13
申请人： Bank of America Corporation
发明人： Georgios Katsaros , Donald Werner Schoppe , Bryan Anthony VonCannon , Pavan Chayanam
IPC分类号： G06K9/18 , G06K9/46
CPC分类号： H04N1/41 , G06K9/00979 , G06K2209/01
摘要： Dynamically configuring OCR processing may include determining a device type and determining whether to perform optical character recognition (OCR) processing of the received image locally based on one or more OCR parameters. Example OCR parameters may include the device type, the image type, the size of the received image, the available amount of the memory, the measured/benchmarked throughput of OCR processing on the device relative to an OCR server throughput and network throughput, and/or the current level of network connectivity. If it is determined that OCR processing of the received image should be performed locally, the device may compute one or more name-value pairs corresponding to the received image and transmit the name-value pairs to a remote data server for processing.
摘要翻译：动态配置OCR处理可以包括基于一个或多个OCR参数来确定设备类型并确定是否对本地接收到的图像进行光学字符识别（OCR）处理。示例性OCR参数可以包括设备类型，图像类型，接收到的图像的大小，可用的存储量，设备上相对于OCR服务器吞吐量和网络吞吐量的OCR处理的测量/基准吞吐量，和/ 或当前的网络连接水平。如果确定接收到的图像的OCR处理应在本地执行，则设备可以计算与接收到的图像相对应的一个或多个名称 - 值对，并将名称 - 值对发送到远程数据服务器进行处理。

8. 发明申请

US20230063406A1 ATM ENCRYPTED SCREENS POWERED BY SMART GLASS FOR SCREEN DECRYPTION 有权
公开(公告)号：US20230063406A1
公开(公告)日：2023-03-02
申请号：US17409972
申请日：2021-08-24
申请人： Bank of America Corporation
发明人： Sandeep Verma , Pavan Chayanam , Srinivas Dundigalla
IPC分类号： G06F21/84 , H04W12/033 , H04W12/041 , H04W12/0431 , G06F3/0488
摘要： Apparatus and methods for unlocking a communication terminal. The methods may include: at the communication terminal, receiving from eye wear of a user, a radio frequency (“RF”) signal that includes a public code. The methods may include: at the communication terminal, receiving from eye wear a request for text that is encrypted using the public code. The methods may include: responsive to the request, transmitting to the communication terminal encrypted text based on the public code. The methods may include displaying on the communication terminal the encrypted text. The methods may include detecting at the terminal, without displaying a decryption of the encrypted text, a user gesture based on the encrypted text. The methods may include providing to the user a private code corresponding to the public code. The private code may be configured to reside in machine readable memory on the eye wear.

9. 发明授权

US11521086B2 Software navigation crash prediction system 有权
公开(公告)号：US11521086B2
公开(公告)日：2022-12-06
申请号：US16890224
申请日：2020-06-02
申请人： Bank of America Corporation
发明人： Venkata R. Bhimireddy , Sandeep Verma , Srinivas Dundigalla , Pavan Chayanam
IPC分类号： G06F11/00 , G06N5/04 , G06N20/00 , G06F11/34 , G06F11/30
摘要： A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

10. 发明授权

US11513819B2 Machine learning based impact analysis in a next-release quality assurance environment 有权
公开(公告)号：US11513819B2
公开(公告)日：2022-11-29
申请号：US16922300
申请日：2020-07-07
申请人： Bank of America Corporation
发明人： Sandeep Verma , Pavan Chayanam , Srinivas Dundigalla , Mohan Kakarla
IPC分类号： G06N20/00 , G06K9/62 , G06F9/451 , G06F8/71 , G06F40/30 , G06F3/04817 , G06F11/36
摘要： Aspects of the disclosure relate to impact analysis in a next-release quality assurance environment for a software application. First log data associated with user navigation of user interface components in a production environment may be retrieved. A production navigational graph may be generated, where a node represents a user interface component visited by a user, and an edge representing a navigational link traversed by the user. Then, second log data associated with release notes for a next-release version of the software application maybe retrieved. Then, the computing platform may identify a change in a portion of a software code in the next-release version, and may identify, based on the production navigational graph, a user interface component and/or a link potentially impacted by the change. The production navigational graph may be provided, via an interactive graphical user interface, where the user interface component and/or the link is visually highlighted.

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