公开(公告)号：US11727480B2

公开(公告)日：2023-08-15

申请号：US16532416

申请日：2019-08-05

Applicant: Refinitiv US Organization LLC

Inventor： Peter Ohnemus ,  Henrik Steffensen ,  David Leason ,  Dominique Habegger

IPC: G06Q40/00 ,  G06Q10/0639 ,  G06T15/20 ,  G06T11/20

CPC classification number: G06Q40/00 ,  G06Q10/06393 ,  G06T11/20 ,  G06T11/206 ,  G06T15/20 ,  G06Q10/06393 ,  G06T11/206

Abstract: Multivariate graphs specific to a company's performance, alone or in relation to a benchmark, and methods for producing same include defining on a display screen an origin having a first value, extending from the origin at least three axes on the display screen, the axes being generally equidistant from each other and representing a respective variable, plotting on the display screen a value of each variable concerning the company as a point on a respective axis, and using the plotted points to interpolate first segments between the axes on the display screen. Benchmark information, extrinsic to the company, can be obtained, processed into a rating in the same manner as the company data, and superimposed for ready visual comparison of the company's performance to the obtained benchmark. The benchmark information, if shown, is distinguished from the company's performance graph.

公开(公告)号：US11720846B2

公开(公告)日：2023-08-08

申请号：US17711880

申请日：2022-04-01

Applicant: MCKINSEY & COMPANY, INC.

Inventor： Sastry Vsm Durvasula ,  Rares Almasan ,  Neema Uthappa ,  Sriram Venkatesan ,  Sayan Chowdhury

IPC: G06N5/022 ,  G06Q10/0639 ,  G06Q10/067 ,  G06Q10/0637

CPC classification number: G06Q10/06393 ,  G06N5/022 ,  G06Q10/067 ,  G06Q10/06375

Abstract: A method includes receiving a plurality of user use cases; analyzing the use cases using an AI engine to order the use cases; generating an optimized machine learning model; and causing an optimized deployment option to be displayed. A computing system includes a processor; and a memory comprising instructions, that when executed, cause the computing system to: receive a plurality of user use cases; analyze the use cases using an AI engine to order the use cases; generate an optimized machine learning model; and cause an optimized deployment option to be displayed. A non-transitory computer-readable storage medium stores executable instructions that, when executed by a processor, cause a computer to: receive a plurality of user use cases; analyze the use cases using an AI engine to order the use cases; generate an optimized machine learning model; and cause an optimized deployment option to be displayed.

公开(公告)号：US20230245027A1

公开(公告)日：2023-08-03

申请号：US18185112

申请日：2023-03-16

Applicant: Wells Fargo Bank, N.A.

Inventor： Tapan Shah ,  Steve Cardinale ,  Casey A. Bennett ,  John V. Hintze ,  Jason Hilliard ,  Simon Cann ,  Kevin D. Oden

IPC: G06Q10/0635 ,  G06Q10/067 ,  G06Q10/0639

CPC classification number: G06Q10/0635 ,  G06Q10/067 ,  G06Q10/06393

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

公开(公告)号：US20230237403A1

公开(公告)日：2023-07-27

申请号：US17648629

申请日：2022-01-21

Applicant: Dell Products L.P.

Inventor： Nicole Reineke ,  Stephen J. Todd

IPC: G06Q10/06

CPC classification number: G06Q10/0633 ,  G06Q10/067 ,  G06Q10/06393

Abstract: One example method includes formulating a hypothesis for development of computing model, annotating the hypothesis with ethics metadata, storing the hypothesis and the ethics metadata, in association with each other, in a ledger, performing ‘n’ phases of a development lifecycle for the computing model, annotating each of the ‘n’ phases with ethics metadata specific to the phase, updating the ledger to include the ‘n’ phases and the ethics metadata respectively associated with each of the ‘n’ phases, and calculating an ethics confidence score for the computing model.

公开(公告)号：US11704612B2

公开(公告)日：2023-07-18

申请号：US17363192

申请日：2021-06-30

Applicant: HITACHI, LTD.

Inventor： Tazu Nomoto ,  Teppei Inoue ,  Atsuki Kiuchi

IPC: G06Q10/00 ,  G06Q10/0631 ,  G06Q30/0201 ,  G06Q10/0637 ,  G06Q10/0639 ,  G06Q10/04

CPC classification number: G06Q10/06315 ,  G06Q10/06375 ,  G06Q10/06393 ,  G06Q30/0201 ,  G06Q30/0206 ,  G06Q10/04

Abstract: The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

公开(公告)号：US11695619B2

公开(公告)日：2023-07-04

申请号：US16784441

申请日：2020-02-07

Applicant: T-Mobile USA, Inc.

Inventor： Marcelo Povoa

IPC: H04L41/0631 ,  H04L41/0654 ,  G06F11/07 ,  G06Q10/0639 ,  H04W28/04 ,  G06N20/00 ,  G06F16/242 ,  G05B23/02

CPC classification number: H04L41/0645 ,  G05B23/0281 ,  G06F11/079 ,  G06F16/244 ,  G06N20/00 ,  G06Q10/06393 ,  H04L41/0654 ,  H04W28/04

Abstract: The claimed system and method describes a root cause analysis system for a radio access network. Some aspects include automatic identification of possible causes for network issues, their ranking, determination of the root (main) cause and execution of related best actions, alerts and reporting in order to automatically identify, mitigate or eliminate the problem.

公开(公告)号：US20230205492A1

公开(公告)日：2023-06-29

申请号：US17854913

申请日：2022-06-30

Applicant: Content Square SAS

Inventor： Bastien Bessiere ,  Yaron Bar

IPC: G06F8/30 ,  G06Q10/06

CPC classification number: G06F8/30 ,  G06Q10/06393

Abstract: A method of generating an experience analytics script that is override-robust starts with processor receiving a script and generating, based on the script, an experience analytics script that is override-robust. Generating the experience analytics script comprises identifying expressions in the script referencing browser native functions of a browser, and replacing the expressions referencing the native functions of the browser with expressions including one or more references that are set at upon execution. The processor causes the experience analytics script to be executed on the browser of a customer client device. Upon execution of the experience analytics script, a value of the one or more references are set to an iframe window. The iframe window is associated with an iframe providing access to a pure untouched version of the native functions of the browser. Other embodiments are described herein,

公开(公告)号：US11681970B2

公开(公告)日：2023-06-20

申请号：US17051876

申请日：2019-04-27

Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Inventor： Meral Shirazipour ,  Julien Forgeat ,  Alvin Jude Hari Haran ,  Per Karlsson

IPC: G06Q10/00 ,  G06Q10/0639 ,  G06N20/00 ,  G06Q10/0631 ,  G06T19/00 ,  A61B90/00 ,  G06F3/01 ,  G06F111/18

CPC classification number: G06Q10/06393 ,  G06N20/00 ,  G06Q10/06311 ,  G06T19/006 ,  A61B2090/365 ,  G05B2219/32014 ,  G06F3/011 ,  G06F2111/18

Abstract: A scheme (300) for facilitating automated AR-based rendering with respect to expert guidance or assistance provided in a connected work environment based on contextualization is disclosed. In one aspect, a method comprises a worker (102) requiring assistance with respect to a given task generating (302) one or more suitable queries. Responsive thereto, real-time context data is gathered (304), which may comprise data relating to the work environment. A remote expert (118) may generate (306) appropriate guidance relevant to the task and assistance query, which may be rendered as AR content (308) for worker consumption by using an AR rendering module (112). The worker (102) consumes or uses the AR content for performing (310) an action with respect to the task. The performance of the worker (102) may be used as a measure to improve the AR rendering in automated fashion (312, 314) using one or more machine learning modules (114).

公开(公告)号：US20230177434A1

公开(公告)日：2023-06-08

申请号：US17540969

申请日：2021-12-02

Applicant: Genpact Luxembourg S.à r.l. II

Inventor： David I. Hauser

IPC: G06Q10/06 ,  G06Q10/08

CPC classification number: G06Q10/0635 ,  G06Q10/0838 ,  G06Q10/06315 ,  G06Q10/06393

Abstract: A method for mitigating routing risks during transport of goods is provided. In some embodiments, the method includes obtaining historical records for transported goods, where the records include routes with associated road segments. The method also includes establishing risk metrics for each road segment on each route based on the historical records and calculating, from the risk metrics, road risk and road probability metrics for each road segment on each route. The method further includes applying a weight to each of the road risk and road probability metrics, combining, for each road segment, the weighted road risk and road probability metrics for such road segment into a composite risk score (CRS) that defines whether such road segment is low-risk or high-risk for transporting goods, and selectively adjusting a length of each road segment defined as low-risk and/or each road segment defined as high-risk based on their corresponding CRS.

公开(公告)号：US20230169438A1

公开(公告)日：2023-06-01

申请号：US18161684

申请日：2023-01-30

Applicant: Xero Limited

Inventor： Tim Mole ,  Grant Anderson

IPC: G06Q10/0639

CPC classification number: G06Q10/06393

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.