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公开(公告)号:US20240232778A1
公开(公告)日:2024-07-11
申请号:US18095244
申请日:2023-01-10
申请人: Verint Americas Inc.
IPC分类号: G06Q10/0639 , G06Q10/0637
CPC分类号: G06Q10/06393 , G06Q10/06375
摘要: A method for providing benchmark-plans to a customer based on benchmark information, comprising receiving a customer-defined service goal and a demand forecast for the customer; generating, with a planner, a plan for achieving the customer-defined service goal based on the demand forecast; determining a benchmark category from a plurality of benchmark categories that the customer belongs to based on at least an industry of the customer, wherein the benchmark category defines a plurality of other customer-defined service goals for other customers participating in at least the industry as the customer; determining benchmark service goals based on the determined benchmark category; executing the planner for each of the benchmark service goals thereby generating benchmark-plans for the demand forecast for the customer; and outputting, to the customer, the plan and the benchmark-plans, wherein the benchmark-plans are different from the plan.
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2.
公开(公告)号:US12032543B2
公开(公告)日:2024-07-09
申请号:US18103023
申请日:2023-01-30
申请人: Verint Americas Inc.
IPC分类号: G06F16/215 , G06F16/2458
CPC分类号: G06F16/215 , G06F16/2474
摘要: Disclosed are a framework and method for selecting an anomaly detection method for each of a plurality of class of time series based on characteristics a time series example that represents an expected form of data. The method provides classification of a given time series into one of known classes based on expected properties of the time series, filtering the set of possible detection methods based on the time series class, evaluating the remaining detection methods on the given time series using the specific evaluation metric and selecting and returning a recommended anomaly detection method based on the specific evaluation metric.
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公开(公告)号:US11972017B2
公开(公告)日:2024-04-30
申请号:US17507471
申请日:2021-10-21
申请人: Verint Americas Inc.
发明人: Michael Johnston , Neil Eades , Ashish Sood
IPC分类号: G06V20/40 , G06F21/62 , G06F40/279 , G10L25/51
CPC分类号: G06F21/6245 , G06F40/279 , G06V20/40 , G10L25/51
摘要: The present invention allows a CEC system to automatedly track the use, storage, access, and modification of sensitive information/data in the system through desktop monitoring. Further, through desktop, video, and audio monitoring of CSRs the system can automatedly determine the improper use, access, storage, and modification of sensitive information by implementing sensitive data use rules that allow a system to be specialized for the user. Finally, the system can automatedly determine and implement violation actions for the improper use, storage, access, and manipulation of sensitive information. This provides an intelligent system capable of locating all sensitive data in the system and regulating the use, access, and storage of sensitive data in the system.
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公开(公告)号:US20240126991A1
公开(公告)日:2024-04-18
申请号:US18046116
申请日:2022-10-12
申请人: Verint Americas Inc.
IPC分类号: G06F40/289 , G06F9/451 , G06F40/58
CPC分类号: G06F40/289 , G06F9/452 , G06F40/58 , G06F16/23
摘要: An automated interaction processing system is deployed to automatically process an interaction transcription or content to generate response data in a manner that does not require intensive human manual effort.
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5.
公开(公告)号:US20240062012A1
公开(公告)日:2024-02-22
申请号:US18458399
申请日:2023-08-30
申请人: Verint Americas Inc.
IPC分类号: G06F40/295 , G06F16/36 , G06F16/33 , G10L15/18 , G10L15/197 , G10L15/22
CPC分类号: G06F40/295 , G06F16/367 , G06F16/3344 , G10L15/18 , G10L15/197 , G10L15/22
摘要: A system and method for updating computerized language models is provided that automatically adds or deletes terms from the language model to capture trending events or products, while maximizing computer efficiencies by deleting terms that are no longer trending and use of knowledge bases, machine learning model training and evaluation corpora, analysis tools and databases
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公开(公告)号:US11907656B2
公开(公告)日:2024-02-20
申请号:US17705898
申请日:2022-03-28
申请人: Verint Americas Inc.
发明人: Ian Beaver
IPC分类号: G06F40/253
CPC分类号: G06F40/253
摘要: As described herein, a system for expanding contractions in electronically stored text includes expanding contractions having only on expanded form. For remaining contractions, a grammar check is performed for all possible expanded forms to determine if an expanded form can be selected based on context and grammar rules. If an expanded form is not evident from the first two steps, all possible expanded forms of the remaining contractions are converted to a vector representation along with the original text. A Word Movers Distance (WMD) for each possible expansion is calculated using the vectors for each possible expansion and the original text. An expanded form is chosen without human intervention based on the grammar score alone or the WMD and the grammar score.
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公开(公告)号:US20240037344A1
公开(公告)日:2024-02-01
申请号:US17815042
申请日:2022-07-26
申请人: Verint Americas Inc.
发明人: Timothy Hewitt
IPC分类号: G06F40/40
CPC分类号: G06F40/40
摘要: The present disclosure describes methods and systems for suggesting responses generated from an entity's own published information with links to the source of that generated response should provide a quality starting point that is already accurate and brand compliant or, if not, quickly editable to become so. The published information is ingested by the system, and a question/answer transformation process is applied against the ingested data using training language data that is tagged and categorized by intent to generate suggested responses. The suggested response may be presented in a user interface with a link to the URL which was used to construct the response. The suggested responses may be edited if needed.
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公开(公告)号:US20240037334A1
公开(公告)日:2024-02-01
申请号:US17875790
申请日:2022-07-28
申请人: Verint Americas Inc.
发明人: Ian Beaver , Vladislav Luzin
IPC分类号: G06F40/284 , G06F9/451 , G06F40/205
CPC分类号: G06F40/284 , G06F9/453 , G06F40/205
摘要: An intelligent virtual assistant (IVA) is deployed to place a call/chat to customer service on behalf of the customer, thus saving them time and frustration. The IVA contacts a destination entity over one or more channels, for example, chat, phone call, Application Programming Interface (API), or email, in order to complete open-ended task(s) requested by another computer. Before the IVA contacts the destination entity, a specific user profile is injected into an IVA dialog state. The IVA contacts the destination entity and answers customer service agent (CSA) questions by using the specific user profile inserted. The IVA then stores the task outcome for the user to review. If something prevents the task from succeeding, the IVA alerts the user that either it needs more information or the user may need to perform some action before the task can be completed, such as filling out, or emailing a form.
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公开(公告)号:US20240036893A1
公开(公告)日:2024-02-01
申请号:US17815685
申请日:2022-07-28
申请人: Verint Americas Inc.
发明人: Ian Beaver , Vladislav Luzin
CPC分类号: G06F9/453 , G06Q30/016 , G06F40/40
摘要: An intelligent virtual assistant (IVA) is deployed to place a call/chat to customer service on behalf of the customer, thus saving them time and frustration. The IVA contacts a specific company over one or more channels, for example, chat, phone call, Application Programming Interface (API), or email, in order to complete open-ended task(s) requested by its user. Before the IVA contacts the company, a specific user profile is injected into an IVA dialog state. The IVA contacts the company or agency and answers customer service agent (CSA) questions by using the specific user profile provided for the call. The IVA then stores the task outcome for the user to review. If something prevents the task from succeeding, the IVA alerts the user that either it needs more information or the user may need to perform some action before the task can be completed, such as filling out or emailing a form.
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公开(公告)号:US20240020545A1
公开(公告)日:2024-01-18
申请号:US17812312
申请日:2022-07-13
申请人: Verint Americas Inc.
IPC分类号: G06N5/02
CPC分类号: G06N5/022
摘要: The present disclosure describes methods and systems for selecting the forecasting algorithm to use for a prediction based on motifs. A motif is a pattern of interval values that is found to repeat in time series data. Time series data that includes historical demand data (e.g., average communication volume) for an entity at various time intervals in the past is received. The time series data is processed to identify motifs. For each identified motif, the forecasting algorithm that best predicts the historical demand data for time intervals associated with the motif is determined. Later, when the entity desires to receive a forecast for a future time interval, the motif associated with the future time interval is determined. The forecasting algorithm determined to best predict demand for the determined motif is then used to predict the demand for the future time interval.
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