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    SECURE CLOUD STORAGE SYSTEM
    1.
    发明申请
    SECURE CLOUD STORAGE SYSTEM 审中-公开

    公开(公告)号：US20190220618A1

    公开(公告)日：2019-07-18

    申请号：US15872336

    申请日：2018-01-16

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Viktor Lapitski

    IPC: G06F21/62 ,  H04L9/06 ,  H04L9/08

    Abstract: Disclosed herein are system, method, and computer program product embodiments for a secured cloud storage system. An embodiment operates by receiving a compressed file comprising data that has been compressed using a compression algorithm. The compressed data is divided into a plurality of separate files. A password for each of the separate files is determined. Each of the separate files is encrypted with its corresponding password. The encrypted files are stored across a plurality of servers.

    Dynamic Execution of ETL Jobs Without Metadata Repository
    2.
    发明申请
    Dynamic Execution of ETL Jobs Without Metadata Repository 审中-公开

    公开(公告)号：US20190258736A1

    公开(公告)日：2019-08-22

    申请号：US15900082

    申请日：2018-02-20

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Viktor Lapitski

    IPC: G06F17/30

    Abstract: Disclosed herein are system, method, and computer program product embodiments for a an ETL (extract-transform-load) system. An embodiment operates by receiving, at a processor, a message including a request to move data from a source database to a target database. The data is retrieved from the source database. One or more operations to perform on the data that convert the data from a source format associated with the source database to a target format associated with the target database are determined from the message. The one or more operations are executed on the data. The data is stored on the target database in the target format.

    Neural network model generation and distribution with client feedback
    4.
    发明授权
    Neural network model generation and distribution with client feedback 有权

    公开(公告)号：US11562245B2

    公开(公告)日：2023-01-24

    申请号：US16586035

    申请日：2019-09-27

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Viktor Lapitski ,  Andrey Belyy

    IPC: G06N3/08 ,  G06K9/62 ,  G06N3/10

    Abstract: Technologies described herein can be used to generate and distribute neural network models and executable code using feedback data received from one or more client computing devices. A neural network model can be generated by a server computer. Executable code can also be generated by the server that, when executed by a client computing device, causes the client device to generate a prediction using the neural network model. The server can transmit the model and code to one or more client computing devices. The server can receive feedback data from the client device(s) based on predictions generated by the client device(s) using the neural network model and the executable code. The server can generate an updated version of the neural network model and/or an updated version of the executable code base on the feedback data, and can transmit the updated model and/or the updated code to the client device(s).

    NEURAL NETWORK MODEL GENERATION AND DISTRIBUTION WITH CLIENT FEEDBACK
    5.
    发明申请
    NEURAL NETWORK MODEL GENERATION AND DISTRIBUTION WITH CLIENT FEEDBACK 有权

    公开(公告)号：US20210097395A1

    公开(公告)日：2021-04-01

    申请号：US16586035

    申请日：2019-09-27

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Viktor Lapitski ,  Andrey Belyy

    IPC: G06N3/08 ,  G06N3/10 ,  G06K9/62

    Abstract: Technologies described herein can be used to generate and distribute neural network models and executable code using feedback data received from one or more client computing devices. A neural network model can be generated by a server computer. Executable code can also be generated by the server that, when executed by a client computing device, causes the client device to generate a prediction using the neural network model. The server can transmit the model and code to one or more client computing devices. The server can receive feedback data from the client device(s) based on predictions generated by the client device(s) using the neural network model and the executable code. The server can generate an updated version of the neural network model and/or an updated version of the executable code base on the feedback data, and can transmit the updated model and/or the updated code to the client device(s).

    Secure cloud storage system
    7.
    发明授权
    Secure cloud storage system 有权

    公开(公告)号：US10754973B2

    公开(公告)日：2020-08-25

    申请号：US15872336

    申请日：2018-01-16

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Viktor Lapitski

    IPC: G06F21/62 ,  H04L9/06 ,  H04L9/08 ,  H04L9/14 ,  H04L9/32

    Abstract: Disclosed herein are system, method, and computer program product embodiments for a secured cloud storage system. An embodiment operates by receiving a compressed file comprising data that has been compressed using a compression algorithm. The compressed data is divided into a plurality of separate files. A password for each of the separate files is determined. Each of the separate files is encrypted with its corresponding password. The encrypted files are stored across a plurality of servers.

    VIRTUAL LOCATION-AWARE REPORTING IN METAVERSE SYSTEMS
    8.
    发明申请
    VIRTUAL LOCATION-AWARE REPORTING IN METAVERSE SYSTEMS 有权

    公开(公告)号：US20250165900A1

    公开(公告)日：2025-05-22

    申请号：US18518208

    申请日：2023-11-22

    Applicant: SAP SE

    Inventor： Alexander Ocher ,  Andrey Belyy ,  Viktor Lapitski

    IPC: G06Q10/067 ,  G06F3/16

    Abstract: Systems and processes for generating location-aware reports corresponding to a location of an avatar in a metaverse world are provided. In a method for generating location-aware reports, a virtual location of an avatar in a metaverse world associated with a metaverse application is retrieved. The virtual location may be processed to generate a processed virtual location that is compatible with an enterprise system, and a reporting table is populated in a backend of the enterprise system to generate a report based on the processed virtual location of the avatar to generate a location-aware report. The location-aware report is output for presentation to a user interface of the metaverse application, such as an avatar mode user interface, enabling a user to view the report while in an avatar mode of the metaverse application.

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