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公开(公告)号:US11741074B2
公开(公告)日:2023-08-29
申请号:US17492236
申请日:2021-10-01
Applicant: Fidelity Information Services, LLC
Inventor: Harsh Sharma , Yogendra Singh Katheria , Seerajudeen Sheik Ahamed , Rajiv Ramanjani , Shefali Garg
IPC: G06F16/23 , G06F16/955 , G06N3/02 , G06F11/07
CPC classification number: G06F16/2358 , G06F11/0745 , G06F11/0769 , G06F16/955 , G06N3/02
Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.
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2.
公开(公告)号:US11521642B2
公开(公告)日:2022-12-06
申请号:US17088365
申请日:2020-11-03
Applicant: FIDELITY INFORMATION SERVICES, LLC
Inventor: Rajiv Ramanjani
IPC: G10L25/63 , G06F16/904 , G06K9/62 , G06F40/30 , G10L15/08 , G10L15/30 , H04M3/51 , G10L15/26 , G06F40/35 , G10L25/60 , G10L15/18
Abstract: Methods and systems include sending recording data of a call to a first server and a second server, wherein the recording data includes a first voice of a first participant of the call and a second voice of a second participant of the call; receiving, from the first server, a first emotion score representing a degree of a first emotion associated with the first voice, and a second emotion score representing a degree of a second emotion associated with the first voice; receiving, from the second server, a first sentiment score, a second sentiment score, and a third sentiment score; determining a quality score and classification data for the recording data based on the first emotion score, the second emotion score, the first sentiment score, the second sentiment score, and the third sentiment score; and outputting the quality score and the classification data for visualization of the recording data.
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公开(公告)号:US12158876B2
公开(公告)日:2024-12-03
申请号:US18345774
申请日:2023-06-30
Applicant: Fidelity Information Services, LLC
Inventor: Harsh Sharma , Yogendra Singh Katheria , Seerajudeen Sheik Ahamed , Rajiv Ramanjani , Shefali Garg
IPC: G06F16/23 , G06F11/07 , G06F16/955 , G06N3/02
Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.
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公开(公告)号:US11755388B2
公开(公告)日:2023-09-12
申请号:US17837535
申请日:2022-06-10
Applicant: FIDELITY INFORMATION SERVICES, LLC
Inventor: Rajiv Ramanjani
IPC: G06F9/54 , G06F9/4401 , G06F9/48
CPC classification number: G06F9/544 , G06F9/4411 , G06F9/4881
Abstract: Computer-implemented systems and methods for analyzing applications include, obtaining user data records from a server, constructing an instruction template, the instruction template includes main streams, the instruction template adding the user data records as user parameters corresponding to the main streams, transmitting the user data records to a file transfer connection, inputting the instruction template and a first command into the file transfer connection, the file transfer connection executes the first command, inputting the file transfer connection and a second command into the script file, the script file executes the second command, opening each of the main streams through the pre-defined driver program by using variable records to retrieve a plurality of in-streams of each of the main streams, aggregating the main streams and the in-streams associated with the user parameters resulting a final output, transmitting the final output to the server.
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公开(公告)号:US20250053557A1
公开(公告)日:2025-02-13
申请号:US18928330
申请日:2024-10-28
Applicant: Fidelity Information Services, LLC
Inventor: Harsh Sharma , Yogendra Singh Katheria , Seerajudeen Sheik Ahamed , Rajiv Ramanjani , Shefali Garg
IPC: G06F16/23 , G06F11/07 , G06F16/955 , G06N3/02
Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.
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公开(公告)号:US20230342349A1
公开(公告)日:2023-10-26
申请号:US18345774
申请日:2023-06-30
Applicant: Fidelity Information Services, LLC
Inventor: Harsh Sharma , Yogendra Singh Katheria , Seerajudeen Sheik Ahamed , Rajiv Ramanjani , Shefali Garg
IPC: G06F16/23 , G06F16/955 , G06N3/02 , G06F11/07
CPC classification number: G06F16/2358 , G06F16/955 , G06N3/02 , G06F11/0769 , G06F11/0745
Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.
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7.
公开(公告)号:US11735208B2
公开(公告)日:2023-08-22
申请号:US17977893
申请日:2022-10-31
Applicant: Fidelity Information Services, LLC
Inventor: Rajiv Ramanjani
IPC: G10L25/63 , G06F16/904 , G06F40/30 , G10L15/08 , G06F18/24 , G10L15/30 , H04M3/51 , G10L15/26 , G06F40/35 , G10L25/60 , G10L15/18
CPC classification number: G10L25/63 , G06F16/904 , G06F18/24 , G06F40/30 , G10L15/08 , G06F40/35 , G10L15/1807 , G10L15/26 , G10L15/30 , G10L25/60 , H04M3/5175
Abstract: Methods and systems include sending recording data of a call to a first server and a second server, wherein the recording data includes a first voice of a first participant of the call and a second voice of a second participant of the call; receiving, from the first server, a first emotion score representing a degree of a first emotion associated with the first voice, and a second emotion score representing a degree of a second emotion associated with the first voice; receiving, from the second server, a first sentiment score, a second sentiment score, and a third sentiment score; determining a quality score and classification data for the recording data based on the first emotion score, the second emotion score, the first sentiment score, the second sentiment score, and the third sentiment score; and outputting the quality score and the classification data for visualization of the recording data.
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