Citigroup has been granted a patent for systems and methods that enable real-time processing of unstructured data without standardization. The technology involves generating vector representations, using artificial intelligence models to determine dependencies, and providing user-specific notifications based on content urgency and user identification. GlobalData’s report on Citigroup gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Citigroup, was a key innovation area identified from patents. Citigroup's grant share as of May 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.
Real-time user-specific notifications of unstructured data
A recently granted patent (Publication Number: US11989217B1) discloses a system and method for providing real-time, user-specific notifications of unstructured data without the need for standardization. The system involves processing native unstructured datasets, generating vector representations, and utilizing artificial intelligence models to determine dependencies and content within the data. By analyzing temporal identifiers and user identifiers, the system can determine the urgency of notifications and the intended recipients. Notifications are then displayed on a user interface based on the identified user and urgency, retrieved data components, and dependencies within the datasets.
Furthermore, the patent includes instructions stored on computer-readable mediums that, when executed, perform operations related to processing unstructured data, determining dependencies, generating content, and creating user-specific notifications. The mediums also facilitate the identification of relationships between data components, the storage of vector representations, and the retrieval of specific dataset components based on pointers. By incorporating artificial intelligence models and natural language processing techniques, the system can efficiently handle unstructured data, provide personalized notifications, and enhance user interaction with the displayed information on the interface.
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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.
