SAP had 89 patents in artificial intelligence during Q2 2024. SAP SE filed patents related to automated event monitoring using a Knowledge Graph, differential privacy algorithms for data re-identification prevention, identifying data patterns based on time series data observations, and training machine learning models using self-contrastive decorrelation techniques. These patents focus on improving data analysis, privacy protection, and model training processes. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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SAP had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Knowledge-guided system for automated event monitoring (Patent ID: US20240211778A1)
The patent filed by SAP SE describes a method and system for automated event monitoring using a Knowledge Graph (KG) constructed by parsing log entries and creating a log entry type tree structure. The method involves receiving a log entry, parsing it to identify formats and leaf nodes, referencing models to identify syntax types or object types, and generating a log entry type tree structure. This structure is then compared to a knowledge graph, grouped with existing entry types, and consolidated to create an updated knowledge graph. The updated knowledge graph can be used for visualization, querying, and triggering actions in an event monitoring system.
The claims associated with the patent detail the specific steps involved in the method, such as tokenizing the log entry, training models using machine learning procedures, and communicating artifacts derived from the use case to an event management system to issue alerts. The patent also covers the storage of log entry type tree structures and updated knowledge graphs in non-transitory computer-readable storage mediums. Additionally, the patent extends to a computer system configured to execute the method, with processors and software programs designed to receive log entries, parse them, generate log entry type tree structures, and store and update knowledge graphs for event monitoring purposes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
