Scalable cross-boundary edge framework

    公开(公告)号:US12265809B2

    公开(公告)日:2025-04-01

    申请号:US17953842

    申请日:2022-09-27

    Inventor: Amol Ajgaonkar

    Abstract: Apparatus and associated methods relate to automating building of a software solution that is cooperatively performed. A broadcasting computing entity selects a functional operation from a set of one or more functional operations associated with the software solution and then broadcasts a request to perform the functional operation selected. Each of a plurality of listening computing entities connected to the network receives the request to perform the functional operation and determines capability of performing the functional operation. A capable one of the plurality of listening computing entities that determines itself capable of performing the functional operation transmits a response to the request received indicating capability of performing the functional operation and performs the functional operation, thereby generating the output of the functional operation, which is transmitted to the broadcasting computing entity. The broadcasting computing entity then performs an action using the output of the functional operation received.

    NEGOTIATION TRAINING FRAMEWORK USING GENERATIVE ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20250094723A1

    公开(公告)日:2025-03-20

    申请号:US18490921

    申请日:2023-10-20

    Abstract: A system for training a user for a conversational encounter with a customer receives encounter-defining parameters via a user interface. The encounter-defining parameters are descriptive of attributes of the conversational encounter. The system formats the encounter-defining parameter for transmission to a large language model (LLM). The LLM receives the instructions and outputs a conversational opening viewable by a user via a user interface. The user then responds to the conversational opening and iteratively converses with the LLM. After a defined maximum number of iterations have been reached, the LLM provides an evaluation to the user via the user interface. The evaluation is indicative of the evaluated outcome of the conversational encounter, including at least one of a score, a summary of the encounter, a likelihood that a deal is reached, and suggested improvements.

    Scalable cross-boundary edge framework

    公开(公告)号:US12254297B2

    公开(公告)日:2025-03-18

    申请号:US18675395

    申请日:2024-05-28

    Inventor: Amol Ajgaonkar

    Abstract: A build of a software solution that is cooperatively performed is automated. A broadcasting computing entity broadcasts a request to perform each of the functional operations in the selected set. Each of a plurality of listening computing entities connected to the network receives the request and determines capability of performing each of the functional operations in the selected set. After determining itself capable, a capable one of the plurality of listening computing entities transmits a response to the request indicating such capability, and then performs each of the functional operations in the selected set, thereby generating and transmitting to the broadcasting computing entity the output of the selected set of functional operations. The broadcasting computing entity then performs an action using the output of the functional operation received.

    Method and system for preprocessing optimization of streaming video data

    公开(公告)号:US12108024B2

    公开(公告)日:2024-10-01

    申请号:US18221561

    申请日:2023-07-13

    Inventor: Amol Ajgaonkar

    CPC classification number: H04N17/00 G11B27/031

    Abstract: A method of improving a main output of a main processing application processing first video data includes analyzing incoming video data via a first processing pipeline and analyzing incoming video data via a second processing pipeline. The second processing pipeline includes identifying, by a parameter optimization module, first test preprocessing parameters; preprocessing the incoming video data according to the first test preprocessing parameters, wherein the first test preprocessing includes formatting the incoming video data to create first test video data; processing the first test video data by a test processing application to determine a first test output that is indicative of a first test inference dependent upon the first test video data; and comparing the first test output and the main output to a baseline criterion. In response to the first test output satisfying the baseline criterion, the parameter optimization module can alter the first preprocessing parameters to be similar to the first test preprocessing parameters.

    SCALABLE CROSS-BOUNDARY EDGE FRAMEWORK
    19.
    发明公开

    公开(公告)号:US20240311106A1

    公开(公告)日:2024-09-19

    申请号:US18675387

    申请日:2024-05-28

    Inventor: Amol Ajgaonkar

    CPC classification number: G06F8/41

    Abstract: A build of a software solution that is cooperatively performed is automated. A broadcasting computing entity broadcasts a request to perform each of the functional operations in the selected set. Each of a plurality of listening computing entities connected to the network receives the request and determines capability of performing each of the functional operations in the selected set. After determining itself capable, a capable one of the plurality of listening computing entities transmits a response to the request indicating such capability, and then performs each of the functional operations in the selected set, thereby generating and transmitting to the broadcasting computing entity the output of the selected set of functional operations. The broadcasting computing entity then performs an action using the output of the functional operation received.

Patent Agency Ranking