SAP had 97 patents in artificial intelligence during Q4 2023. SAP SE filed patents in Q4 2023 for systems and methods related to generating a unified semantic model to identify user intentions, training machine learning models to analyze commit messages and code changes, training a bot orchestrator for chatbot selection, recommending new features based on user-generated feedback, and automating feature engineering of multidimensional data sets. These innovations aim to improve user experience, automate tasks, and enhance machine learning capabilities within computing systems. GlobalData’s report on SAP gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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SAP grant share with artificial intelligence as a theme is 45% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Unified semantic model of user intentions (Patent ID: US20230418625A1)
The patent filed by SAP SE involves systems and methods for generating a unified semantic model to identify a user's intentions or goals within a system, allowing for optimized, automated, or improved tasks and queries based on user behavior. The method includes generating a generic semantic model representing user behavior, observing user interactions with an application, modifying importance values based on observed behavior to create user-specific models, generating importance objects associated with target software objects, and determining relevance based on the user-specific model. The system also considers parameters like user heartrate, gaze location, neuro-activity, emotional state, and environmental factors to enhance user experience and relevance of target software objects.
The patent claims detail a computer-implemented method and system for improving user experience by creating user-specific semantic models based on observed behavior, modifying importance values, and generating importance objects associated with target software objects. The method involves recording observed parameters like user behavior, emotional state, and environmental factors, while the system includes one or more computers and a computer-readable storage device to execute operations for enhancing user experience. By utilizing a generic semantic model and observing user behavior, the method and system aim to provide personalized and optimized interactions within a computing environment, ultimately improving user satisfaction and efficiency in accessing software objects.
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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.
