RUNTIME RECOMMENDATIONS FOR ARTIFICIAL INTELLIGENCE MODEL TRAINING

    公开(公告)号:US20240119350A1

    公开(公告)日:2024-04-11

    申请号:US18045669

    申请日:2022-10-11

    CPC classification number: G06N20/00

    Abstract: According to an aspect, a computer-implemented method includes accessing a profile of a user that indicates a likelihood that the user will execute each of a plurality of types of processing when training a new AI model. A runtime matrix that includes identifiers of runtime environments is accessed. The matrix also includes, for each of the runtime environments, a frequency of use of the runtime environment to train previously trained AI models using each of the plurality of types of processing. One or more of the runtime environments is selected for output to the user based at least in part on the profile of the user and the runtime matrix. Identifiers of the selected one or more of the runtime environments are output to a user interface of the user along with a suggestion to use one of the selected one or more of the runtime environments.

    Automated data labeling
    2.
    发明授权

    公开(公告)号:US11269844B2

    公开(公告)日:2022-03-08

    申请号:US16740647

    申请日:2020-01-13

    Abstract: Systems and methods for computer-automated labeling of data are disclosed. In embodiments, a method includes: identifying technical data assets in lineage data and corresponding business items in User Interface (UI) data of a user, wherein the lineage data includes a data source for the UI data; mapping the technical data assets to the corresponding business items; determining relevant labels to assign to the technical data assets from a label repository based on a similarity analysis of names of the corresponding business items and labels in the label repository; determining that one or more of the relevant labels meet a confidence threshold based on the similarity analysis; and automatically assigning the one or more of the relevant labels to associated ones of the technical data assets based on the determining that the one or more of the relevant labels meet the confidence threshold.

    Identifying an appropriate contact across collaborative applications

    公开(公告)号:US11170018B2

    公开(公告)日:2021-11-09

    申请号:US16551313

    申请日:2019-08-26

    Abstract: A computer-implemented method, system and computer program product for identifying an appropriate contact across collaborative applications. Contact information is collected from monitored messages, communication lists and contact lists in each collaborative application. Contact records are generated based on the collected contact information, where such records are inserted into a contact list. After receiving a query from a user containing a keyword(s) that include a nickname (or portion thereof) of a second user whom the user desires to interact via the current collaborative application, a search is performed in the contact list for any record containing a nickname that is similar to the provided keyword(s). Record(s) in the contact list containing a nickname that exceeds a threshold degree of similarity as the keyword(s) are identified. Such identified records may contain a user identifier which is used to identify the appropriate nickname of the second user associated with the current collaborative application.

    IDENTIFYING AN APPROPRIATE CONTACT ACROSS COLLABORATIVE APPLICATIONS

    公开(公告)号:US20210064607A1

    公开(公告)日:2021-03-04

    申请号:US16551313

    申请日:2019-08-26

    Abstract: A computer-implemented method, system and computer program product for identifying an appropriate contact across collaborative applications. Contact information is collected from monitored messages, communication lists and contact lists in each collaborative application. Contact records are generated based on the collected contact information, where such records are inserted into a contact list. After receiving a query from a user containing a keyword(s) that include a nickname (or portion thereof) of a second user whom the user desires to interact via the current collaborative application, a search is performed in the contact list for any record containing a nickname that is similar to the provided keyword(s). Record(s) in the contact list containing a nickname that exceeds a threshold degree of similarity as the keyword(s) are identified. Such identified records may contain a user identifier which is used to identify the appropriate nickname of the second user associated with the current collaborative application.

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