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公开(公告)号:US12130610B2
公开(公告)日:2024-10-29
申请号:US16181194
申请日:2018-11-05
Applicant: R4N63R Capital LLC
Inventor: Prasad Narasimha Akella , Ananya Honnedevasthana Ashok , Zakaria Ibrahim Assoul , Krishnendu Chaudhury , Sameer Gupta , Sujay Venkata Krishna Narumanchi , David Scott Prager , Devashish Shankar , Ananth Uggirala , Yash Raj Chhabra
IPC: G06F16/24 , G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC classification number: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
Abstract: The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for automatic creation of certificates for each instance of a subject product or service. The certificates can string together snippets of the sensor streams along with indicators of cycles, processes, action, sequences, objects, parameters and the like captured in the sensor streams.
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公开(公告)号:US20240354686A1
公开(公告)日:2024-10-24
申请号:US18684649
申请日:2022-08-16
Applicant: ASTRIKOS CONSULTING PRIVATE LIMITED
Inventor: Chinmaya Hegde
IPC: G06Q10/067 , G06Q10/0633 , G06Q10/0639 , G06Q50/26
CPC classification number: G06Q10/067 , G06Q10/0633 , G06Q10/06393 , G06Q50/26
Abstract: The invention provides AI/Machine Learning frameworks i.e., a Workbench, (FIG. 2 (213)) with intelligences and modelling methods to address ‘What-If’ scenarios—(FIG. 2 (220)), users can devise specific studies (FIG. 3 (313)) with workbench to build and train models, ML workbench (FIG. 2 (213)) thus provides both domain-specific standard analytics as well as user-defined scenarios, while assisting the user to optimize their model performance, the seamless user Interface provides best-in-class visualization (FIG. 2 (226)) and dashboards (FIG. 2 (225)), while also enabling collaborative information specifics exchange (FIG. 9) and workflows across disciplines.
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公开(公告)号:US20240354685A1
公开(公告)日:2024-10-24
申请号:US18762411
申请日:2024-07-02
Inventor: Junfeng SHEN , Junling SHEN , Mengting CAO , Yinglei HAN , Chenhui PAN
IPC: G06Q10/0639 , G06Q50/10
CPC classification number: G06Q10/06393 , G06Q50/10
Abstract: A system for displaying a monitoring-point state on software and a method for calculating the monitoring-point state, based on determination by on an Internet of Things sensor on whether termites exist or not are provided in the disclosure. The system includes an initial state block, a termite-existing state block, an in-killing state block, a killing-complete state block, an off-line state block, a lost state block and a shifting state block. The method includes determining whether termite exists according to a signal sent by a monitoring point so as to calculate a number of monitoring points in a termite-existing state or an initial state, and determining whether proper handling is performed according to received handling information to calculate a number of monitoring points in an in-killing state. The disclosure uses the Internet of Things sensor and information technology to accurately and completely display the different states of respective monitoring points.
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公开(公告)号:US20240354683A1
公开(公告)日:2024-10-24
申请号:US18137373
申请日:2023-04-20
Applicant: Intuit, Inc.
Inventor: Arnab CHAKRABORTY , Sourav PROSAD
IPC: G06Q10/0639
CPC classification number: G06Q10/06393
Abstract: Certain aspects of the disclosure provide a method of benchmarking a target entity. The method generally includes, for each respective entity characteristic in a set of entity characteristics and starting with a first entity characteristic: determining a wide distribution comprising dissimilarity metric values associated with the respective entity characteristic and measured between the target entity and each entity in a current set of entities; determining subsets of entities within the current set of entities; for each respective subset: determining a narrow distribution comprising dissimilarity metric values associated with the respective entity characteristic and measured between the target entity and each entity in the respective subset; resetting the current set of entities to include only a subset of entities in the subsets of entities having a highest benchmark score; and determining benchmark data for the target entity based on the current set of entities.
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公开(公告)号:US20240340304A1
公开(公告)日:2024-10-10
申请号:US18744908
申请日:2024-06-17
Applicant: SecurityScorecard, Inc.
Inventor: Aleksandr Yampolskiy , Rob Blackin , Samuel Kassoumeh , Nick Matviko
IPC: H04L9/40 , G06F21/56 , G06F21/57 , G06N20/00 , G06Q10/0635 , G06Q10/0639 , H04L43/065 , H04L61/25 , H04L61/2503 , H04L61/4511 , H04L61/5007 , H04L61/5076 , H04L67/10 , H04W84/12
CPC classification number: H04L63/1433 , G06F21/56 , G06F21/57 , G06F21/577 , G06N20/00 , G06Q10/0635 , G06Q10/06393 , H04L43/065 , H04L61/25 , H04L61/2503 , H04L61/4511 , H04L61/5007 , H04L61/5076 , H04L63/08 , H04L63/1425 , H04L63/1458 , H04L67/10 , H04W84/12 , G06F2221/034
Abstract: Systems and methods for mapping IP addresses to an entity include receiving at least one domain name associated with the entity. Embodiments may further include determining one or more variations of the at least one domain name based on analysis of domain name data collected from a plurality of domain name data sources that mention a variation of the at least one domain name. Some embodiments may also include identifying one or more IP addresses pointed to by the one or more variations of the entity's domain name based on analysis of IP address data collected from a plurality of IP address data sources. Additional embodiments include assigning weights to each of the identified one or more IP addresses and creating a mapping of IP addresses to associate with the entity based on analysis of the weighted one or more IP addresses.
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公开(公告)号:US20240330829A1
公开(公告)日:2024-10-03
申请号:US18194365
申请日:2023-03-31
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Jennifer M. Hatfield , Stan Kevin Daley , Lucia Larise Stavarache , Marina-Adriana Mercioni
IPC: G06Q10/0639 , G06Q10/0633
CPC classification number: G06Q10/06393 , G06Q10/0633
Abstract: Optimizing a user experience (UX) through improved efficiency of UX research includes using a processor to identify a candidate object, associated with parameters, for research. A current state of the candidate object is assessed by the processor based on the parameters. This assessment may include performing simulations, performed by the processor, on the candidate object using different combinations of the parameters. Research methods are selected, by the processor, from research method recommendations generated for the candidate object based on key performance indicators (KPIs) determined according to the assessment. Machine learning logic is executed by the processor to evaluate the research methods for the candidate object using a machine learning model, and the candidate object and/or research methods is/are modified by the processor based on output from the machine learning model.
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公开(公告)号:US12106248B2
公开(公告)日:2024-10-01
申请号:US17150338
申请日:2021-01-15
Applicant: JPMorgan Chase Bank, N.A.
Inventor: Rajat Ray , Navnidh Bhalla , Danielle C Inagaki , Charles R Yost, III
IPC: G06Q10/0639 , G06Q10/0637 , G06Q10/105
CPC classification number: G06Q10/06393 , G06Q10/06375 , G06Q10/06398 , G06Q10/105
Abstract: Various methods, apparatuses/systems, and media for intelligent tracking of data are disclosed. A processor accesses a plurality of data sources that store data to be utilized for generating a single consolidated view data of resource information onto a display; determines, based on accessing the plurality of data sources, whether data discrepancies exist in terms of data quality and consistency across the plurality of data sources; automatically reconciles and normalizes the data to remove the discrepancies to enable standardized and accurate resource reporting onto the display; transmits the reconciled and normalized data to a processor for performing in-memory processing of the reconciled and normalized data; benchmarks the reconciled and normalized data against organizational goals and objective to generate benchmarked data; generates the single consolidated view data of resource information onto the display based on the benchmarked data; uncover meaningful and actionable insights; and provides optimized, actionable recommendations based on specific goals and priorities.
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公开(公告)号:US12106245B2
公开(公告)日:2024-10-01
申请号:US17744809
申请日:2022-05-16
Applicant: Exafluence Inc USA
Inventor: Ravikiran Dharmavaram , Karthikeyan Sankaran , Jeevan Jamakayala
IPC: G06Q10/00 , G06F16/2458 , G06N7/01 , G06N20/00 , G06Q10/0637 , G06Q10/0639 , G06Q40/08
CPC classification number: G06Q10/0637 , G06F16/2465 , G06N7/01 , G06N20/00 , G06Q10/06393 , G06Q40/08
Abstract: A system and method for analyzing businesses data to make business decisions is disclosed. The method includes receiving a request from one or more users via one or more electronic devices to predict a set of insights associated with a business enterprise and generating a set of KPIs and metrics. The method further includes determining health of the business enterprise and predicting the set of insights associated with the business enterprise based on the received request, the generated set of KPIs and metrics, the determined health of the business enterprise and one or more diagnosis parameters by using a data management-based AI model. Further, the method includes outputting the determined health of the business enterprise, the one or more diagnosis parameters and the predicted set of insights on user interface screen of the one or more electronic devices associated with the one or more users.
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公开(公告)号:US12099344B2
公开(公告)日:2024-09-24
申请号:US16181239
申请日:2018-11-05
Applicant: R4N63R Capital LLC
Inventor: Prasad Narasimha Akella
IPC: G06Q10/06 , G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC classification number: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
Abstract: In one embodiment a method comprises: accessing information associated with a first actor, including sensed activity information associated with an activity space; analyzing the activity information, including analyzing activity of the first actor with respect to a plurality of other actors; and forwarding feedback on the results of the analysis, wherein the results includes identification of a second actor as a replacement actor to replace the first actor, wherein the second actor is one of the plurality of other actors. The activity space can include an activity space associated with performance of a task. The analyzing can comprise: comparing information associated with activity of the first actor within the activity space with anticipated activity of the respective ones of the plurality of the actors within the activity space; and analyzing/comparing deviations between the activity of the first actor and the anticipated activity of the second actor.
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公开(公告)号:US20240311736A1
公开(公告)日:2024-09-19
申请号:US18183673
申请日:2023-03-14
Applicant: Selector Software, Inc.
Inventor: Varija Sriram , Kannan Kothandaraman , Nitin Kumar , Surya Chandra Sekhar Nimmagadda , Debashis Mohanty , Rudramahesh Rugge , Sirish A. Kondi
IPC: G06Q10/0639
CPC classification number: G06Q10/06393
Abstract: Systems, apparatuses, and methods for creating on-demand dashboards for inspecting performance metrics of hardware and/or software infrastructure are described. A request is received, from a user device, to inspect one or more performance metrics of a network connected service. An operations management system generates metadata from data ingested from one or more data sources associated with the network connected service. A plurality of database queries generated based on the contextual metadata are identified and at least a portion of the plurality of database queries are resolved. One or more dashboards facilitating inspection of each of the one or more performance metrics are generated based at least in part on the resolved portion of the plurality of database queries.
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