USER INTERFACE WITH ANALYTICS OVERLAY
    2.
    发明申请
    USER INTERFACE WITH ANALYTICS OVERLAY 有权
    用户界面与分析重叠

    公开(公告)号:US20160171734A1

    公开(公告)日:2016-06-16

    申请号:US14571841

    申请日:2014-12-16

    Abstract: A method for displaying analytics data includes collecting, at an analytics database, analytics data comprising trackable events associated with operation of an application on a number of computing devices. The analytics data is received by a computing device. The analytics data is displayed on the first computing device during runtime of the application by superimposing upon a user interface of the application an analytics overlay including a graphical representation of the analytics data.

    Abstract translation: 用于显示分析数据的方法包括在分析数据库处收集包括与多个计算设备上的应用的操作相关联的跟踪事件的分析数据。 分析数据由计算设备接收。 分析数据在应用程序的运行期间通过在应用的用户界面上叠加包括分析数据的图形表示的分析覆盖来显示在第一计算设备上。

    Natural language platform for database system

    公开(公告)号:US10410107B2

    公开(公告)日:2019-09-10

    申请号:US15353834

    申请日:2016-11-17

    Inventor: Eric Romero

    Abstract: An artificial intelligence assistant (“chatbot”) operates within a multi-tenant database and allows users to interact with the underlying structured database through a natural language interface without using a standard structured query language or database interface. Users may interact with the chatbot via a chatroom and perform database queries using natural language expressions in the same manner as asking a person to perform the tasks. In addition, the chatbot may check user permissions and security parameters to determine if the user is permitted to access or alter data within the multi-tenant database.

    Natural language platform for database system

    公开(公告)号:US11295194B2

    公开(公告)日:2022-04-05

    申请号:US16527384

    申请日:2019-07-31

    Inventor: Eric Romero

    Abstract: An artificial intelligence assistant (“chatbot”) operates within a multi-tenant database and allows users to interact with the underlying structured database through a natural language interface without using a standard structured query language or database interface. Users may interact with the chatbot via a chatroom and perform database queries using natural language expressions in the same manner as asking a person to perform the tasks. In addition, the chatbot may check user permissions and security parameters to determine if the user is permitted to access or alter data within the multi-tenant database.

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