MicroStrategy had five patents in artificial intelligence during Q4 2023. MicroStrategy Inc’s patents filed in Q4 2023 focus on providing dynamic in-context information and predictively providing access to resources. The first patent describes a method for displaying dossier-specific information windows based on user input and contextual data points. The second patent involves unlocking or opening a resource based on movement data indicating a user’s approach, before the user interacts with the resource. GlobalData’s report on MicroStrategy gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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MicroStrategy grant share with artificial intelligence as a theme is 60% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for generating temporary in-context data (Patent ID: US20230400967A1)
The patent filed by MicroStrategy Inc. describes a method for providing dynamic in-context information through a dossier-specific information window displayed via a graphical user interface. The method involves receiving a user input, determining contextual data points, selecting a dossier-specific information window blueprint, retrieving data from a database, generating the information window, and displaying it on the GUI. The information window blueprint can be generated through an authoring platform, received from a database, or selected from templates. Additionally, a machine learning model can be used to output the information window blueprint based on historical data, dossier content, contextual data points, or user history.
Furthermore, the patent also covers a system for providing dynamic context information, where a processor executes instructions to receive user input, determine contextual data points, select an information window blueprint, retrieve data, generate the information window, and display it on the GUI. The system allows for the dynamic display of information based on user interactions with the dossier. Additionally, the patent includes a method for providing dynamic in-context information involving multiple user inputs, contextual data points, and dossier-specific information windows. These windows can be generated based on machine learning models trained on historical user inputs and outcome data, allowing for personalized and contextually relevant information display within the dossier.
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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.
