GENERATIVE ARTIFICIAL INTELLIGENCE (AI) CONTEXTUAL CREDIT METERING

    公开(公告)号:US20250166060A1

    公开(公告)日:2025-05-22

    申请号:US18514287

    申请日:2023-11-20

    Abstract: In some embodiments, a method stores a total number of generative credits for a generative artificial intelligence (AI) solution that is integrated with a software application in a database system. Usage data is tracked for a request to the generative artificial intelligence (AI) solution in the database system. The method determines a context from the usage data and retrieves a contextual pricing model for the generative AI solution using the context. The contextual pricing model translates a model specific charging policy to generative credits. The method applies the usage data to the contextual pricing model to translate the usage data to a number of generative credits. The number of generative credits for the generative AI solution is applied to an available number of generative credits of the total number of generative credits to generate a new available number of generative credits.

    SEMANTICALLY MATCHING NATURAL LANGUAGE QUERIES WITH PARAMETERIZED QUESTIONS

    公开(公告)号:US20250139087A1

    公开(公告)日:2025-05-01

    申请号:US18822050

    申请日:2024-08-30

    Abstract: A system receives a natural language query directed to a data source, and in response generates insights associated with predefined questions for the data source based on predefined types of analyses. In accordance with a determination that the natural language query semantically matches a respective predefined question, the computer system selects the respective predefined question and associated respective generated insights. In accordance with a determination that the natural language query semantically matches a respective generated insight, selecting the respective generated insight and associated respective predefined question. The system generates instructions for displaying on a display communicatively connected to the system the selected representative predefined question and associated respective generated insights and/or the selected representative generated insight and associated predefined question.

    AUTONOMOUS EXECUTION OF UNSTRUCTURED COMPUTE PROCESSES

    公开(公告)号:US20250123894A1

    公开(公告)日:2025-04-17

    申请号:US18488831

    申请日:2023-10-17

    Abstract: A method of data processing is described. The method may include receiving an indication of one or more operational constraints for an unstructured compute process to be executed by the data processing system. The method may further include transmitting a request to decompose the unstructured compute process into a set of structured sub-processes and allocate the set of structured sub-processes to a set of compute resources of the data processing system in accordance with the one or more operational constraints. The method may further include receiving a response that contains information associated with an allocation scheme for the set of structured sub-processes of the unstructured compute process. The method may further include allocating the set of structured sub-processes to the set of compute resources and executing the set of structured sub-processes in accordance with the allocation scheme and the one or more operational constraints.

    Controlled updates of containers in a distributed application deployment environment

    公开(公告)号:US12277414B2

    公开(公告)日:2025-04-15

    申请号:US18670184

    申请日:2024-05-21

    Inventor: Mayank Kumar

    Abstract: System and methods are described for implementing controlled updates of containers in a distributed application deployment environment. In one implementation, a method comprises: receiving a request to update a target container of a plurality of containers within a deployed computing unit; identifying an updated configuration object to be applied to the target container based on the request; receiving or computing a health indicator representative of performance of the deployed computing unit or other containers to which the updated configuration object has been applied; and assigning the updated configuration object to the target container based on the health indicator.

    Automatic data linting rules for ETL pipelines

    公开(公告)号:US12277133B2

    公开(公告)日:2025-04-15

    申请号:US18080268

    申请日:2022-12-13

    Abstract: In the present disclosure, systems and methods are described for allowing a non-code user to create to transform a database in an ETL pipeline. Specifically, as disclosed herein, a user can take a database and receive a ruleset to apply to the database in an ETL pipeline. The data linting system may take the database and extract a schema and a data sample from it. Further, the data linting system may use the schema and data sample to create two rulesets. With these rulesets, the data linting system combines them to create a final ruleset which may be validated using the data sample. The data linting system then sends the final ruleset and the validation report to the user. With this system, the user only needs to give it a database and will receive a ruleset that is able to be immediately used in an ETL pipeline.

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