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    Multiplication of database objects
    4.
    发明授权
    Multiplication of database objects 有权

    公开(公告)号：US10909184B2

    公开(公告)日：2021-02-02

    申请号：US16127748

    申请日：2018-09-11

    Applicant: SAP SE

    Inventor： Nithya Rajagopalan ,  Jeremiah Reeves ,  Gurudayal Khosla

    IPC: G06F16/9038 ,  G06F16/11 ,  G06F16/901

    Abstract: A method for multiplying an object in a database may include receiving, from a client, an indication that an object is associated with a first variable attribute having a first variation and a second variation. A bucket may be created in response to the indication. The bucket may include the object, a first sub-object having a first reference to the first variation of the first variable attribute, and a second sub-object having a second reference to the second variation of the first variable attribute. The bucket may be created instead of a first object having the first variation of the first variable attribute and a second object having the second variation of the first variable attribute. The bucket stored in the database may be accessed in response to a query from the client accessing the object. Related systems and articles of manufacture including computer program products are also provided.

    AUTO DERIVATION OF SUMMARY DATA USING MACHINE LEARNING
    5.
    发明申请
    AUTO DERIVATION OF SUMMARY DATA USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20200380022A1

    公开(公告)日：2020-12-03

    申请号：US16425736

    申请日：2019-05-29

    Applicant: SAP SE

    Inventor： Panish Ramakrishna ,  Ashutosh Patel ,  Nithya Rajagopalan

    IPC: G06F16/34 ,  G06Q10/06 ,  G06F16/31 ,  G06F16/35 ,  G06F16/9535 ,  G06N20/00

    Abstract: A method of processing raw data as it is received from a data provider via an input channel is disclosed. Values are derived from the raw data as it is received from the data provider via the input channel. The derived values correspond to custom fields of a summary table. The summary table is configured to store a summary of the raw data The custom fields correspond to data capable of improving an analysis of an entity by an analysis tool. The derived values are inserted into the custom fields of the summary table. Access to the summary table is provided as enriched data for use by the analysis tool to improve the analysis of the entity.

    MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER
    6.
    发明公开
    MACHINE LEARNING ENABLED ENGAGEMENT CONTROLLER 审中-公开

    公开(公告)号：US20230385744A1

    公开(公告)日：2023-11-30

    申请号：US17828377

    申请日：2022-05-31

    Applicant: SAP SE

    Inventor： Krishna Hindhupur Vijay Sudheendra ,  Sandeep Hebbar ,  Nithya Rajagopalan ,  David Morel

    IPC: G06Q10/06 ,  G06N20/00

    CPC classification number: G06Q10/06395 ,  G06N20/00

    Abstract: A method may include receiving, from a first supplier, a first response to a sourcing event. A machine learning model to may be applied to determine a performance metric for the first response. The machine learning model being trained to determine, based on the terms included in the first response, the performance metric to indicate a relative competitiveness of the first response and a second response from a second supplier. One or more terms from the first response may be identified, based on an output of the machine learning model, as candidates for modification. A user interface may be generated to display a recommendation for the first supplier to modify the one or more terms of the first response. Related systems and computer program products are also provided.

    Splitting a task hierarchy
    9.
    发明授权
    Splitting a task hierarchy 有权

    公开(公告)号：US11257035B2

    公开(公告)日：2022-02-22

    申请号：US16126619

    申请日：2018-09-10

    Applicant: SAP SE

    Inventor： Krishna Hindhupur Vijay Sudheendra ,  Hari Babu Krishnan ,  Nithya Rajagopalan ,  Prasanna Kumar Govindappa ,  Avneesh Sharma

    IPC: G06Q10/08 ,  G06F3/0482 ,  G06Q10/06 ,  G06Q30/06

    Abstract: In one aspect, there is provided a method including presenting a first user interface including an object hierarchy comprising a parent node and a plurality of child nodes; receiving, at a second user interface, a first selection allocating at first portion of the object hierarchy to a first device; receiving, at the second user interface, a second selection allocating a second portion of the object hierarchy to a second device; and when a selection at a user interface element of a third user interface is received, sending an indication to a system to enable generation of a fourth user interface presenting a first electronic document for the first device and generation of a fifth user interface presenting a second electronic document for the second device. Related systems, methods, and articles of manufacture are also disclosed.

    Auto derivation of summary data using machine learning
    10.
    发明授权
    Auto derivation of summary data using machine learning 有权

    公开(公告)号：US11238077B2

    公开(公告)日：2022-02-01

    申请号：US16425736

    申请日：2019-05-29

    Applicant: SAP SE

    Inventor： Panish Ramakrishna ,  Ashutosh Patel ,  Nithya Rajagopalan

    IPC: G06F7/00 ,  G06F16/34 ,  G06Q10/06 ,  G06N20/00 ,  G06F16/35 ,  G06F16/9535 ,  G06F16/31

    Abstract: A method of processing raw data as it is received from a data provider via an input channel is disclosed. Values are derived from the raw data as it is received from the data provider via the input channel. The derived values correspond to custom fields of a summary table. The summary table is configured to store a summary of the raw data. The custom fields correspond to data capable of improving an analysis of an entity by an analysis tool. The derived values are inserted into the custom fields of the summary table. Access to the summary table is provided as enriched data for use by the analysis tool to improve the analysis of the entity.

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