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公开(公告)号:US11144383B2
公开(公告)日:2021-10-12
申请号:US16813934
申请日:2020-03-10
Applicant: SAP SE
Inventor: James Michael Amulu , Biddappa C K , Deepak Kaluti , Vishnu Vijayakrishnan
Abstract: Methods, systems, and computer-readable storage media for receiving, by an auto-pilot platform, one or more log files from an in-memory system, determining, by the auto-pilot platform, occurrence of a first error within the in-memory system based on the one or more logs, wherein the first error is indicated by a first error code within the one or more log files, identifying, by the auto-pilot platform, a first resolution from a resolution repository based on the first error code, the resolution repository including one or more mappings associating error codes to resolutions including associating the first error code with the first resolution, initiating, by the auto-pilot platform, execution of the first resolution, and updating, by the auto-pilot platform, the resolution repository based on execution of the first resolution.
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公开(公告)号:US20210286666A1
公开(公告)日:2021-09-16
申请号:US16813934
申请日:2020-03-10
Applicant: SAP SE
Inventor: James Michael Amulu , Biddappa C K , Deepak Kaluti , Vishnu Vijayakrishnan
Abstract: Methods, systems, and computer-readable storage media for receiving, by an auto-pilot platform, one or more log files from an in-memory system, determining, by the auto-pilot platform, occurrence of a first error within the in-memory system based on the one or more logs, wherein the first error is indicated by a first error code within the one or more log files, identifying, by the auto-pilot platform, a first resolution from a resolution repository based on the first error code, the resolution repository including one or more mappings associating error codes to resolutions including associating the first error code with the first resolution, initiating, by the auto-pilot platform, execution of the first resolution, and updating, by the auto-pilot platform, the resolution repository based on execution of the first resolution.
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公开(公告)号:US20210191923A1
公开(公告)日:2021-06-24
申请号:US16726462
申请日:2019-12-24
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
IPC: G06F16/242 , G10L15/22 , G06F16/2455 , G10L15/18
Abstract: Methods, systems, and computer-readable storage media for receiving, by a conversation-based search system (CSS) of an analytics system, verbal input from a user, providing, by the CSS, text input based on the verbal input, processing, by the CSS, the text input to determine a set of contexts, each context in the set of context representing one or more operations of an enterprise, determining, by the CSS, one or more insights based on the set of contexts, each insight representative of a performance of the enterprise, and displaying, by the analytics system, a story comprising one or more visualizations, each visualization depicting at least one insight.
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公开(公告)号:US20240184793A1
公开(公告)日:2024-06-06
申请号:US18073314
申请日:2022-12-01
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
IPC: G06F16/2458
CPC classification number: G06F16/2465
Abstract: Methods and apparatus are disclosed for deep mining of data sources. A deep miner provides extended reach into available structured databases and/or unstructured data sources. Direct evaluation of columns for relevance to a client query provides a wider array of columns having potential relevance, compared to conventional tools relying on table evaluation. Direct column evaluation is extended to unstructured data sources. A broad interface extends the reach of search seamlessly across a wide range of structured and unstructured data sources. Disclosed techniques provide superior results with reduced computing resource utilization. Limitations of human expertise are overcome. Further efficiencies are achieved through caching, ranking of columns or results, search refinement, and customized responses.
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公开(公告)号:US20230281034A1
公开(公告)日:2023-09-07
申请号:US17688168
申请日:2022-03-07
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
CPC classification number: G06F9/466 , G06F9/4881 , G06K9/6256 , G06N20/00
Abstract: In an example embodiment, a framework is provided that helps configure predefined actions on transactions in a process flow, which will be continuously learned using artificial intelligence (AI)/machine learning techniques. This allows decision trees to be dynamically built to bypass unnecessary delays, especially as the volume of inputs grows and the variations of decisions become more complex.
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公开(公告)号:US08949291B2
公开(公告)日:2015-02-03
申请号:US13909139
申请日:2013-06-04
Applicant: SAP SE
Inventor: James Michael Amulu , Praneeth Chennuru , Anirban Dey , Lalitendu Samantray
CPC classification number: G06F17/30292 , G06F17/30914 , G06Q10/0637
Abstract: In various embodiments, a system receives a multidimensional schema entity of a first type and converts the multidimensional schema entity to a second type. The system receives user input and converts the multidimensional schema entity to the second type based on the input received from the user. In various embodiments, the system creates multidimensional schema entities automatically. In various embodiments, a method for converting multidimensional schema entities from one or more types to one or more other types is described. In various embodiments, a multidimensional schema entity is created automatically based on input from two other multidimensional schema entities. In various embodiments, two multidimensional schema entities are merged in one multidimensional schema entity. In various embodiments, multidimensional schema entities are used to generate a report. Queries extract data from the multidimensional schema entities and load it in the report. The report is presented on a graphical user interface.
Abstract translation: 在各种实施例中,系统接收第一类型的多维模式实体,并将多维模式实体转换为第二类型。 系统接收用户输入,并且基于从用户接收的输入将多维模式实体转换为第二类型。 在各种实施例中,系统自动创建多维模式实体。 在各种实施例中,描述了将多维模式实体从一种或多种类型转换为一种或多种其他类型的方法。 在各种实施例中,基于来自两个其他多维模式实体的输入自动创建多维模式实体。 在各种实施例中,两个多维模式实体被合并在一个多维模式实体中。 在各种实施例中,多维模式实体用于生成报告。 查询从多维模式实体中提取数据,并将其加载到报表中。 该报告显示在图形用户界面上。
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公开(公告)号:US12197941B2
公开(公告)日:2025-01-14
申请号:US17688168
申请日:2022-03-07
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
IPC: G06F3/00 , G06F9/46 , G06F9/48 , G06F18/214 , G06N20/00
Abstract: In an example embodiment, a framework is provided that helps configure predefined actions on transactions in a process flow, which will be continuously learned using artificial intelligence (AI)/machine learning techniques. This allows decision trees to be dynamically built to bypass unnecessary delays, especially as the volume of inputs grows and the variations of decisions become more complex.
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公开(公告)号:US12124460B2
公开(公告)日:2024-10-22
申请号:US18073314
申请日:2022-12-01
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
IPC: G06F16/2458
CPC classification number: G06F16/2465
Abstract: Methods and apparatus are disclosed for deep mining of data sources. A deep miner provides extended reach into available structured databases and/or unstructured data sources. Direct evaluation of columns for relevance to a client query provides a wider array of columns having potential relevance, compared to conventional tools relying on table evaluation. Direct column evaluation is extended to unstructured data sources. A broad interface extends the reach of search seamlessly across a wide range of structured and unstructured data sources. Disclosed techniques provide superior results with reduced computing resource utilization. Limitations of human expertise are overcome. Further efficiencies are achieved through caching, ranking of columns or results, search refinement, and customized responses.
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公开(公告)号:US11714807B2
公开(公告)日:2023-08-01
申请号:US16726462
申请日:2019-12-24
Applicant: SAP SE
Inventor: James Michael Amulu , Ranganathan Natarajan
IPC: G06F16/242 , G06F16/2455 , G10L15/18 , G10L15/22
CPC classification number: G06F16/243 , G06F16/24553 , G10L15/1815 , G10L15/22 , G10L2015/223
Abstract: Methods, systems, and computer-readable storage media for receiving, by a conversation-based search system (CSS) of an analytics system, verbal input from a user, providing, by the CSS, text input based on the verbal input, processing, by the CSS, the text input to determine a set of contexts, each context in the set of context representing one or more operations of an enterprise, determining, by the CSS, one or more insights based on the set of contexts, each insight representative of a performance of the enterprise, and displaying, by the analytics system, a story comprising one or more visualizations, each visualization depicting at least one insight.
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