DYNAMIC CHANNEL ALLOCATION
    62.
    发明公开

    公开(公告)号:US20230262523A1

    公开(公告)日:2023-08-17

    申请号:US17651255

    申请日:2022-02-16

    CPC classification number: H04W28/0967 H04W28/0268 H04W72/0486

    Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can identify an effective channel on a transmission stream framework comprising a plurality of channels and nodes using current capacity states and current transmission schedules. Embodiments of the present invention can then determine whether to continue marshalling on a current channel or to marshal to the effective channel based on transmission demands between nodes and channel providing a minimum latency between available options within the transmission stream framework

    Transforming select portions of a monolithic application to microservices

    公开(公告)号:US11567760B2

    公开(公告)日:2023-01-31

    申请号:US16801610

    申请日:2020-02-26

    Abstract: A method includes: determining, by a computing device, transactions of a monolithic application; ranking, by the computing device, the transactions using predefined rules; selecting, by the computing device, a candidate transaction from the ranked list; determining, by the computing device, lines of application code of the monolithic application associated with the candidate transaction; mapping, by the computing device, respective ones of the determined lines of application code to a first operation and a second operation, wherein the first operation and the second operation are different types of operation; and defining, by the computing device, a target state design based on CQRS (Command Query Responsibility Segregation), the target state design including a first microservice that performs the first operation and a second microservice that performs the second operation.

    Translating inputs for voice communication

    公开(公告)号:US11475873B2

    公开(公告)日:2022-10-18

    申请号:US16918060

    申请日:2020-07-01

    Abstract: A method can include obtaining one or more gesture definitions. Each of the one or more gesture definitions can identify a correspondence between a set of gestures and a voice communication. The method can further include detecting that a mute function of a communication device is active. The mute function can prevent the communication device from transmitting audio data to one or more receiving devices. The method can further include obtaining gesture data from one or more input devices. The method can further include identifying a first gesture definition of the one or more gesture definitions. The identifying the first gesture definition can be based on the gesture data. The method can further include initiating a transfer of a first voice communication to the one or more receiving devices. The first voice communication can correspond to the first gesture definition.

    ANALYZING MACHINE LEARNING CURVES OF SOFTWARE ROBOTS

    公开(公告)号:US20220309382A1

    公开(公告)日:2022-09-29

    申请号:US17210150

    申请日:2021-03-23

    Abstract: Systems and methods for analyzing machine learning of cognitive software robots (CogBots) over time are provided. In implementations, a method includes generating, by a computing device, a graph of historic learning curves based on historic learning data over time for a subject obtained from a primary cognitive software robot (CogBot) and at least one secondary CogBot; generating, by the computing device, a best probable learning curve based on the historic learning curves of the graph, wherein the best probable learning curve is predictive of future learning by the primary CogBot for the subject; and generating, by the computing device, information regarding a current status of the learning of the primary CogBot based on the best probable learning curve.

    Propensity model
    69.
    发明授权

    公开(公告)号:US11423444B2

    公开(公告)日:2022-08-23

    申请号:US16993327

    申请日:2020-08-14

    Abstract: Described are techniques including a method comprising generating customer profiles in a profile datastore and selecting a subset of the customer profiles for storing in a candidate profile datastore based on qualifier constraints in a qualifier model. The method further comprises scoring the subset of the customer profiles using a scoring algorithm and determining, for each of the subset of the customer profiles, a respective preferred communication channel. The method further comprises transmitting, in an order according to a rank based on the scoring, electronic communications to a subset of the customer profiles using the respective preferred communication channels.

    PRIVATE CLOUD USER INSIGHT PRIVACY
    70.
    发明申请

    公开(公告)号:US20220182363A1

    公开(公告)日:2022-06-09

    申请号:US17115859

    申请日:2020-12-09

    Abstract: A user-initiated request from a user device of a user is detected. The user-initiated request is directed to a product provider, the user-initiated request includes one or more parameters. an anonymized request is created based on the one or more parameters. The anonymized request is sent to the product provider. A provider response is received from the product provider. A targeted response is generated based on the one or more parameters of the user-initiated request and based on the provider response. The targeted response is transmitted to the user device of the user.

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