SELECTIVE FIDELITY RATES FOR NETWORK TRAFFIC REPLICATION BY A DIGITAL TWIN DEVICE

    公开(公告)号:US20230131255A1

    公开(公告)日:2023-04-27

    申请号:US18145329

    申请日:2022-12-22

    Abstract: A computer executed process can be configured to identify a network traffic flow of a source network device. The process can select a traffic fidelity rate from a plurality of traffic fidelity rates for sending information regarding the network traffic flow to a digital twin device corresponding to the source network device. The process can transmit the information regarding the network traffic flow to the digital twin device according to the traffic fidelity rate. The digital twin device can be configured to replicate at least one operation of the source network device with respect to the network traffic flow.

    CASE DEFLECTION USING VISIBILITY INTO MULTI-PRODUCT CLOUDS

    公开(公告)号:US20230090203A1

    公开(公告)日:2023-03-23

    申请号:US17476916

    申请日:2021-09-16

    Abstract: Methods are provided in which a cloud portal, serving as an orchestrator device, obtains a request for diagnostics data to monitor performance of a cloud-based service executing in a provider cloud network and accessed by a client device in an enterprise network and obtains service information about a plurality of assets involved in providing the cloud-based service. The plurality of assets are managed by at least a first cloud-based management entity and a second cloud-based management entity. The methods further include collecting the diagnostics data about the plurality of assets based on the service information, aggregating the diagnostics data to form a multi-cloud diagnostics data, and determining the performance of the cloud-based service based on the multi-cloud diagnostics data.

    SYSTEM FOR LIFECYCLE PROGRESSION LEVERAGING ADOPTION JOURNEY OF NETWORKING AND COMPUTING EQUIPMENT

    公开(公告)号:US20230064763A1

    公开(公告)日:2023-03-02

    申请号:US17461339

    申请日:2021-08-30

    Abstract: Methods are provided in which a computing device obtains telemetry data associated with a network technology used in an enterprise network and an enterprise network profile that includes information about the complexity of the enterprise network. The network technology is deployed at one or more devices of the enterprise network. The methods further include the computing device determining, based on the telemetry data, for each deployment of the network technology, a current stage from a plurality of stages of an adoption lifecycle to which the network technology progressed, determining a time estimate for completing the current stage of the adoption lifecycle, based on the enterprise network profile and an adoption benchmark generated from a plurality of activities performed for progressing along the adoption lifecycle, and evaluating an adoption of the network technology, using the time estimate, to progress the network technology along the lifecycle.

    DYNAMIC NETWORK HEALTH MONITORING USING PREDICTIVE FUNCTIONS

    公开(公告)号:US20200213203A1

    公开(公告)日:2020-07-02

    申请号:US16238027

    申请日:2019-01-02

    Abstract: Techniques for dynamic health monitoring of a client system using predictive functions are presented. In one embodiment, a method includes obtaining a dataset associated with devices of a client system. The dataset is applied to a code module to generate a diagnostic result. The code module is configured to process the dataset to detect a potential problem associated with the devices as the diagnostic result. The method also includes generating a predictive function based on the diagnostic result from the code module. The predictive function maps an input variable associated with the diagnostic result for the potential problem to at least one of the diagnostic result or an associated severity level for the diagnostic result. The method further includes providing the predictive function to the client system for dynamically monitoring and predicting potential problems with the devices based on changes to the input variable.

    DYNAMIC CREATION OF ISOLATED SCRUBBING ENVIRONMENTS

    公开(公告)号:US20190026460A1

    公开(公告)日:2019-01-24

    申请号:US15654169

    申请日:2017-07-19

    Abstract: An application security monitors data traffic from computing devices to a remote application in a first computing environment, such as a production service chain. The application security monitor detects an anomaly in the data traffic from a computing device. Based on the anomaly, the remote application is substantially reproduced in a second computing environment, such as a scrubbing environment. The application security monitor redirects the anomalous data to the remote application in the second computing environment. The application security monitor determines whether the data traffic from the first computing device corresponds to malicious activity or legitimate activity by the computing device. Responsive to a determination that the data traffic from the first computing device corresponds to legitimate activity, the application security monitor applies to the first computing environment any changes in the second computing environment caused by the redirected traffic from the computing device.

    SELF-PROVISIONING HUMANOID FOR AUTOMATED CUSTOMER SUPPORT

    公开(公告)号:US20240394721A1

    公开(公告)日:2024-11-28

    申请号:US18790270

    申请日:2024-07-31

    Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

    SYNTHETIC VIDEO MODEL FOR INSTRUCTING A USER TO IMPROVE SPEECH

    公开(公告)号:US20240144918A1

    公开(公告)日:2024-05-02

    申请号:US17977353

    申请日:2022-10-31

    CPC classification number: G10L15/18 G10L15/07

    Abstract: A method, computer system, and computer program product are provided for improving user speech. A data sample of a user speaking one or more words is received, wherein the data sample includes video data and audio data of the user speaking. The data sample is analyzed to determine a correct articulation of a mouth when speaking the one or more words. A synthetic video of the user performing the correct articulation is generated. The synthetic video of the user is presented to the user. A live video of the user is presented to the user while the synthetic video is presented.

Patent Agency Ranking