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公开(公告)号：US12063325B1
公开(公告)日：2024-08-13
申请号：US18123586
申请日：2023-03-20
发明人： Sarah Porter , Zizhen Wu , Marcy Daniels
CPC分类号： H04M3/42161 , G06F9/542 , G06N3/08 , G06N7/01 , H04M3/42127
摘要： An artificial intelligence (AI) model, using logistic regression and gradient boosting tree, may determine a priority score for a user. The priority score may be associated with a likelihood of redemption of investment funds of the user by the user. Based on the priority score for the user, a server may prioritize transmission of a communication message to the user via one of a plurality of communication channels. The communication message may describe why the user should continue with their investment funds without redemption.
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公开(公告)号：US11941583B1
公开(公告)日：2024-03-26
申请号：US17723377
申请日：2022-04-18
发明人： Michal Knas , Jiby John , Krzysztof Gibadlo , Rick Ferry
IPC分类号： G06Q10/105 , H04L9/00 , H04L9/06 , H04L9/40 , H04W4/16
CPC分类号： G06Q10/105 , H04L9/0637 , H04L9/0643 , H04L63/10 , H04L63/123 , H04L9/50 , H04W4/16
摘要： A method comprises receiving a request to generate a customized dataset comprising data stored onto a blockchain; retrieving user work history data associated with a user from one or more block instances of the blockchain; in response to presenting the user work history data on a display of the second computing device, receiving a selection of a subset of the user work history data from the second computing device; generating a blockchain address corresponding to one or more hash values of a subset of the one or more block instances associated with the selection of the subset of the user work history data; and transmitting the blockchain address to the second computing device.
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公开(公告)号：US11936818B1
公开(公告)日：2024-03-19
申请号：US18121812
申请日：2023-03-15
发明人： Sears Merritt
IPC分类号： H04M3/523 , G06N7/08 , G06Q10/0631 , G06Q10/0635 , G06Q30/016 , G06Q30/0251 , H04M3/42
CPC分类号： H04M3/5233 , G06N7/08 , G06Q10/06311 , G06Q10/0635 , G06Q30/016 , G06Q30/0254 , G06Q10/063112 , H04M3/42068 , H04M2203/551 , H04M2203/556
摘要： Systems and methods described herein can automatically route an inbound call from an identified customer to one of a plurality of agents, the agent being selected on the basis of likelihood of a favorable outcome. The method determines a predictive model appropriate for the identified customer, with model variables including call center data, and targeted marketing data based upon risk data for the customer. An analytical engine calculates outcome predictions by applying the predictive model to values of model variables over a recent time interval. In a time-series analysis, this calculation is repeated while dynamically adjusting the recent time interval, until identifying a call routing option that satisfies a favorable outcome criterion. This method may be used to select the agent to handle the incoming call, and optionally to select a product for that agent to discuss with the identified customer.
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公开(公告)号：US11804143B1
公开(公告)日：2023-10-31
申请号：US17233913
申请日：2021-04-19
发明人： Damon Ryan DePaolo , Payton A. Shubrick , Emilia Daniela Holban , Jiby John , Gerald Lee , Deepak Jagasia , Cheri Kevane
IPC分类号： G06F16/33 , G09B5/06 , G06F16/335 , G06F18/2415 , G06N3/08 , G06N20/00 , G06F18/2134
CPC分类号： G09B5/06 , G06F16/337 , G06F18/24155 , G06F18/21342 , G06N3/08 , G06N20/00
摘要： Disclosed herein are systems and methods of artificial intelligence learning systems. In some embodiments the artificial intelligence system presents options to users based on their life stage and personality profile. Family or group structures may be created within an application. Options may be created and presented based on the family structure such as chores may be assigned to children, money may be transferred between family members, and scores may be assigned to different users.
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公开(公告)号：US11783724B1
公开(公告)日：2023-10-10
申请号：US16777330
申请日：2020-01-30
CPC分类号： G09B19/0053 , G06T11/00 , G09B5/02 , G06T2200/24
摘要： Disclosed herein is a security training apparatus configured to operate an interactive cybersecurity training application, which provides customized and tailored cybersecurity training to each employee of an organization. The security training apparatus uses augmented reality to facilitate customized cybersecurity training for each user. The augmented reality is a computer application, which deals with the combination of real world images of personal workspace environment of each user where the cyber-crime may occur and computer generated data associated with cybersecurity risk objects that may aid the cyber-crime. The interactive cybersecurity training comprises the use of live video imagery of the personal workspace environment of each user, which is digitally processed and augmented by the addition of computer generated graphics associated with the cybersecurity risk objects. The cybersecurity risk objects are selected based on the items within the personal workspace environment for each user.
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公开(公告)号：US11769210B1
公开(公告)日：2023-09-26
申请号：US17589460
申请日：2022-01-31
发明人： Haimao Zhan , David Lovejoy
IPC分类号： G06Q40/08 , G06N20/00 , G06F16/2457 , G06F16/2458 , G06F18/214
CPC分类号： G06Q40/08 , G06F16/2477 , G06F16/24578 , G06F18/2148 , G06N20/00
摘要： A DI recovery management system generates a plurality of ranked claimant records and recovery scores. A predictive machine learning model inputs disability income claim data and disability income claimant data into an event history model utilizing discrete-time survival analysis in conjunction with a gradient boosting machine learning model. The claim termination event is one of a plurality of preselected recovery events that indicate that a claimant has achieved return-to-work capacity. Claimant data used in modeling includes diagnosis data representative of workplace disability duration guidelines. The predictive machine learning model is continually trained using updated disability income claims data. The training procedure transforms claimant records extracted from a DI claims database into a longitudinal format that includes multiple person-year records corresponding to each claimant record. A DI recovery dashboard displays a hazard plot representing a conditional probability over time that a claimant will realize a claim termination event.
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公开(公告)号：US11308448B1
公开(公告)日：2022-04-19
申请号：US15951638
申请日：2018-04-12
发明人： Michal Knas , Jiby John , Krzysztof Gibadlo , Rick Ferry
摘要： A method comprising receiving a request from a first user to generate an employee dataset for a second user associated with one or more attributes; generating an instruction configured to be transmitted to a plurality of network nodes associated with a blockchain to receive a latest valid blockchain associated with one or more users; upon receiving the latest valid blockchain, generating a score corresponding to each user based on the data within each user's latest valid blockchain and based on a scoring algorithm received from the computing device associated with the first user; generating a graphical user interface comprising a plurality of fields configured to display data associated the one or more users comprising each user's score; upon displaying, the graphical user interface on the first computing device, receiving a selection of users; and generating, a notification to the selected users comprising identification information regarding the first user.
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公开(公告)号：US11308269B1
公开(公告)日：2022-04-19
申请号：US17001462
申请日：2020-08-24
发明人： Todd Rodgers , Harish Krishnaswamy
摘要： Provided methods and systems allow dynamic rendering of a reflexive questionnaire based on a modifiable spreadsheet for users with little to no programming experience and knowledge. Some methods comprise receiving a modifiable spreadsheet with multiple rows, each row comprising rendering instructions for a reflexive questionnaire from a first computer, such as a data type cell, statement cell, logic cell, and a field identifier; rendering a graphical user interface, on a second computer, comprising a label and an input element corresponding to the rendering instructions of a first row of the spreadsheet; receiving an input from the second computer; evaluating the input against the logic cell of the spreadsheet; in response to the input complying with the logic cell of the spreadsheet, dynamically rendering a second label and a second input element to be displayed on the graphical user interface based on the logic of the first row.
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公开(公告)号：US11263279B1
公开(公告)日：2022-03-01
申请号：US16673590
申请日：2019-11-04
发明人： Gareth Ross , Tricia Walker
IPC分类号： G06F16/9535 , H04L29/08 , H04L67/306
摘要： System and methods for an agent tool that identifies high value targets within a particular area, based on an individual's social media activity are disclosed. A computing device displays a user interface generated by an analysis module, and receives an agent's search criteria. Then, the analysis module scans a plurality of social media sites and selects the profile of individuals according to the search criteria. Next, the analysis module identifies the profile of members who are associated to the profile of each previously selected individual, and compares them with the profile of pleased customers. If both profiles match, then the analysis module has identified a high value target. The system also provides the full profile of each high value target found, when needed. The agent tool identifies high value targets in a simpler, less time-consuming and inexpensive way, while increasing the company's revenue.
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公开(公告)号：US11259718B1
公开(公告)日：2022-03-01
申请号：US16562226
申请日：2019-09-05
发明人： Gareth Ross , Yaron Ben-Zvi , Sears Merritt
摘要： A system and method for automated body mass index is disclosed. The disclosed method operates within a system architecture including one or more computing devices, one or more servers, and one or more databases. A processor operating within the one or more servers executes one or more algorithms for detecting relevant features associated with a potential client's multimedia information. The method may include calculating feature values, such as abdomen circumference, face width, face height, cheekbone width, jaw width, and neck width, and the like as well as calculating the body mass index of the potential client using one or more regression algorithms. A baseline and updated BMI may be determined, and used for determining a baseline and updated value.
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