Runtime estimation for machine learning data processing pipeline

    公开(公告)号:US12299544B2

    公开(公告)日:2025-05-13

    申请号:US17031661

    申请日:2020-09-24

    Applicant: SAP SE

    Abstract: Inputs may be received for constructing a data processing pipeline configured to implement an process to generate a machine learning model for performing a task associated with an input dataset. The process may include a plurality of machine learning trials, each of which applying, to a training dataset and/or a validation dataset generated based on the input dataset, a different type of machine learning model and/or a different set of trial parameters. The machine learning model being generated based on a result of the plurality of machine learning trials. A runtime estimate for the process to generate the machine learning model may be determined. The runtime estimate may enable the allocation of a sufficient time budget for the process. Moreover, the process may be executed if the runtime of the process does not exceed the available time budget.

    OPTIMIZATION RESOURCE ALLOCATION OF SOFTWARE AS A SERVICE (SAAS) SYSTEM

    公开(公告)号:US20250147807A1

    公开(公告)日:2025-05-08

    申请号:US18387703

    申请日:2023-11-07

    Applicant: SAP SE

    Inventor: HUI LI

    Abstract: Embodiments are described for a resource analysis system comprising a memory and at least one processor coupled to the memory. The at least one processor is configured to receive history data of one or more data processes and determine an average central processing unit (CPU) resource and an average memory resource of a data process of the one or more data processes based on the history data. The at least one processor is further configured to determine a resource type of the data process based on the average CPU resource and the average memory resource and transmit a resource type report to a resource record server, wherein the resource type report indicates the resource type of the data process and the data process.

    Classifying documents based on machine learning

    公开(公告)号:US12293601B2

    公开(公告)日:2025-05-06

    申请号:US17897022

    申请日:2022-08-26

    Applicant: SAP SE

    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives an image of a document, the document comprising a set of text. The program further provides the set of text to a machine learning model configured to determine, based on the set of text, a plurality of probabilities for a plurality of defined types of documents. Based on the plurality of probabilities for the plurality of defined types of documents, the program also determines a type of the document from the plurality of defined types of documents.

    Multidimensional hierarchy level recommendation for forecasting models

    公开(公告)号:US12293302B2

    公开(公告)日:2025-05-06

    申请号:US17000503

    申请日:2020-08-24

    Applicant: SAP SE

    Inventor: Mokrane Amzal

    Abstract: Provided is a system and method for identifying and recommending the best hierarchical levels for training a predictive model such as a time-series forecasting model. In one example, the method may include receiving an identification of a measure of multidimensional data, generating a plurality of training data sets that comprise different combinations of hierarchical dimension granularities of aggregation, training a plurality of instances of a machine learning model based on the plurality of training data sets, respectively, and determining and outputting predictive accuracy values of the plurality of instances of the trained machine learning model.

    Cross-process dispatch service in hybrid cloud scenarios

    公开(公告)号:US12293221B2

    公开(公告)日:2025-05-06

    申请号:US17557147

    申请日:2021-12-21

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for receiving, by a cross-process scheduling engine executed within a cloud platform, work scenario metadata and sensitivity metadata, generating, by the cross-process scheduling engine, a lineage graph representing relationships between one or more of data and processes to be executed for a work scenario represented by the work scenario metadata, defining, by the cross-process scheduling engine, a set of tile segments for the work scenario based on the lineage graph and the sensitivity metadata, dispatching, by the cross-process scheduling engine, a first sub-set of tile segments for execution in a private deployment including one or more private nodes, and dispatching, by the cross-process scheduling engine, a second sub-set of tile segments for execution in a public deployment including one or more public nodes.

    Snapshot changes for cloud systems during zero downtime upgrades

    公开(公告)号:US12292883B1

    公开(公告)日:2025-05-06

    申请号:US18611833

    申请日:2024-03-21

    Applicant: SAP SE

    Abstract: Implementations can include providing a snapshot table, replacing, in a first access schema, a first projection view with a union view, creating, in a second access schema, a snapshot projection view, a second projection view, and a set of database triggers, and during execution of an upgrade procedure that results in changes to records of the data table: recording the changes to the records of the data table in the snapshot table, for each record of the data table changed, providing the record in the snapshot table in an unchanged state through at least one database trigger and the snapshot projection view, and returning a set of records through the union view in response to a query, the set of records including a first sub-set of records of the data table and a second sub-set of records of the snapshot table.

    Optimal downtime suggestion for hybrid it landscapes

    公开(公告)号:US12292860B2

    公开(公告)日:2025-05-06

    申请号:US17975959

    申请日:2022-10-28

    Applicant: SAP SE

    Abstract: A system and method including receiving a request for a suggested downtime for a specified system within a hybrid information technology (IT) landscape including at least one on premise system and at least one cloud-based system; determine, based on one or more executable processes depending on the specified system, at least one on premise contributor and at least one cloud-based contributor to the downtime for the hybrid IT landscape; determine an ordered ranking for each of the at least one on premise contributor and the at least one cloud-based contributor; generate, based on a combination of the at least one on premise contributor and the at least one cloud-based contributor and their respective associated ordered ranking, one or more downtime time slots; and present, in reply to the request and based on the generated downtime time slots, the suggested downtime for the specified system.

    DATABASE VALUE EXPLORATION SYSTEM
    18.
    发明申请

    公开(公告)号:US20250139097A1

    公开(公告)日:2025-05-01

    申请号:US18495052

    申请日:2023-10-26

    Applicant: SAP SE

    Inventor: Jens Schyma

    Abstract: A computer-implemented method may comprise receiving a first search value and generating a first set of search results based on a first search of database tables for the first search value. The first set of search results may identify each row of each database table that has a corresponding cell that includes the first search value. Each row of one of the database tables that is identified in the first set of search results may be displayed along with a corresponding cell value that is stored in each one of the cells of the row. A second search value defined by a user selection of one of the displayed cell values may be received, and, in response to receiving the second search value, a second set of search results may be generated based on a second search search of the database tables for the second search value.

    DATA CLASSIFICATION FRAMEWORK
    20.
    发明申请

    公开(公告)号:US20250133073A1

    公开(公告)日:2025-04-24

    申请号:US18382455

    申请日:2023-10-20

    Applicant: SAP SE

    Abstract: Systems and processes for managing and applying data classification labels are provided. In a method for managing data classification labels, a request may be received from a client application to fetch data classification labels from a policy server. Authentication information may be retrieved and passed to the policy server, and an access token may be received from the policy server based on a rights check performed using the authentication information. The access token may be provided to an interface for the policy server for use in generating a request for a list of data classification labels accessible via the access token, and the list of data classification labels may be received. Output data usable by the client application to generate a presentation of the list of data classification labels for selection by a user of the client application to classify data managed by the client application may be generated.

Patent Agency Ranking