ESTIMATION DEVICE, ESTIMATION METHOD, AND ESTIMATION PROGRAM

    公开(公告)号:US20240362552A1

    公开(公告)日:2024-10-31

    申请号:US18292955

    申请日:2021-08-19

    IPC分类号: G06Q10/0631 G06Q10/0639

    摘要: An estimation device configured to estimate career plan candidates for a subject user includes an acquisition unit, an estimation unit, and an estimation result output unit. The acquisition unit acquires business features for each business that the subject user has been in charge of up to the present. Thereafter, the estimation unit estimates career plan candidates appropriate for the subject user from the subject user's business features on the basis of a model trained using business features of each reference user who has responded that he/she has an aptitude for his/her current business field. The estimation result output unit outputs results of estimating the career plan candidates appropriate for the subject user.

    APPARATUSES, COMPUTER-IMPLEMENTED METHODS, AND COMPUTER PROGRAM PRODUCTS FOR IMPROVED ASSET PERFORMANCE MONITORING AND RANKING

    公开(公告)号:US20240354684A1

    公开(公告)日:2024-10-24

    申请号:US18304424

    申请日:2023-04-21

    IPC分类号: G06Q10/0639 G06N20/00

    CPC分类号: G06Q10/06393 G06N20/00

    摘要: Embodiments of the disclosure provide for monitoring asset performance and ranking of assets based thereon. Such embodiments enable identifying poor-performance assets, determining poor performance factors, and generating action recommendations for mitigating poor performance. Some embodiments receive monitored data associated with assets, generate, for each asset and using the monitored data, performance metrics, normalize the performance metrics for each asset to generate normalized performance metrics for each asset, wherein each performance metric of the normalized performance metrics indicates a level of performance of the corresponding asset. Some embodiments generate an aggregated performance metric for each asset based at least in part on a combination of the plurality of normalized performance metrics corresponding to the asset. Some embodiments generate a ranking of the assets based at least in part on the aggregated performance metric for each asset, wherein the ranking of the assets indicates a level of poor performance for each asset.

    SYSTEMS AND METHODS FOR GEOLOCATION-BASED KEY PERFORMANCE INDICATOR VISUALIZATION IN A TELECOMMUNICATIONS NETWORK

    公开(公告)号:US20240354681A1

    公开(公告)日:2024-10-24

    申请号:US18035966

    申请日:2023-03-29

    IPC分类号: G06Q10/0639 H04W16/18

    CPC分类号: G06Q10/06393 H04W16/18

    摘要: Systems and methods for implementing geolocation-based key performance indicator (KPI) visualization in a polygon-defined geolocation area of a telecommunications network, the system includes: a memory storing instructions; a processor configured to execute the instructions to: generate pixel coordinates of a polygon circumscribing the area from a pixel map; determine, for each generated pixel coordinate of the polygon, pixel tiles that insect with the extracted pixel coordinate of the polygon from the pixel map; determine, for each pixel tile among the pixel tiles that intersect with the extracted pixel coordinate of the polygon, pixels that intersect with the polygon, and for each pixel among the pixels that intersect with the polygon, determine a color of the pixel, and determine, based on the color, a KPI value from a lookup table; output, for each pixel among the one or more pixels that intersect with the polygon, the KPI value.

    Systems and processes for bias removal in a predictive performance model

    公开(公告)号:US12124955B2

    公开(公告)日:2024-10-22

    申请号:US18345712

    申请日:2023-06-30

    申请人: Cangrade, Inc.

    摘要: A hardware processor can receive a set of input data individually describing a particular asset associated with an entity. The hardware processor can receive sets of inputs individually responsive to a respective subset of queries. The hardware processor can generate a predictive model using the set of input data. The hardware processor can calculate predictive outcomes individually associated with a respective user by applying the predictive model to each respective set of inputs of the sets of inputs. The hardware processor can generate a list ranked according to the predictive outcomes for the particular asset.

    SYSTEMS AND METHODS FOR ALLOCATING DEVELOPMENT OF A DEVICE APPLICATION

    公开(公告)号:US20240338622A1

    公开(公告)日:2024-10-10

    申请号:US18295844

    申请日:2023-04-05

    申请人: Engineer.ai Corp.

    摘要: Systems, methods, and computer readable storage mediums for developing a device application are disclosed. An exemplary embodiment is a method for developing device applications. The method includes receiving a set of features of a 1st device application and determining one or more subsets of the set of features where each subset is capable of operating independently of the other subsets in the 1st device application area. The method further includes determining a production time for each subset. For each subset, the method includes tasking a developer to complete the subset at a time based on the production time.

    CAST PRODUCT MANAGEMENT SYSTEM
    8.
    发明公开

    公开(公告)号:US20240330833A1

    公开(公告)日:2024-10-03

    申请号:US18595712

    申请日:2024-03-05

    申请人: SINTOKOGIO, LTD.

    摘要: A cast product management system includes: an acquisition unit configured to acquire, from an input terminal, information on a defect of an inspected cast product; a database configured to the information on the defect acquired by the acquisition unit and information on a period when the cast product is manufactured in association with each other; and an output unit configured to output a time-series transition of the information on the defect with reference to the database.

    SYSTEMS AND METHODS RELATING TO ESTIMATING LIFT IN TARGET METRICS OF CONTACT CENTERS

    公开(公告)号:US20240330828A1

    公开(公告)日:2024-10-03

    申请号:US18129175

    申请日:2023-03-31

    发明人: ANKIT PAT

    摘要: A method of determining operational advantages associated with prospective use by a contact center of a predictive routing model. The operational advantages may include quantifying an expected lift in a target metric. The method includes: receiving an operational dataset associated with a time period of operation for the contact center; providing the predictive routing model configured to predict a score for the target metric for a given agent for a given interaction based on agent characteristic data associated with the given agent and interaction data associated with the given interaction; and, using the received predictive routing model, operational dataset, and agent characteristic data, computing the expected lift in the target metric assuming use of the predictive routing model during the time period. The algorithm used to compute the lift in the target metric is based on individual agent occupancy levels.