Capital One Financial had 43 patents in cloud during Q4 2023. Capital One Financial Corp filed patents in Q4 2023 for methods to improve data processing efficiency in classifying user files with a temporal element, a quarantining system for potentially harmful API requests, generating dynamic conversational responses using machine learning models, collecting data from cloud-based data warehousing systems across multiple platforms, and managing data migration in a cloud computing environment with sensitive data tokenization. GlobalData’s report on Capital One Financial gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Capital One Financial grant share with cloud as a theme is 55% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods and systems for classifying database records by introducing time dependency into time-homogeneous probability models (Patent ID: US20230418843A1)
The patent filed by Capital One Financial Corp. describes methods and systems for enhancing the efficiency of classifying user files in a database by incorporating time dependency into time-homogeneous probability models. By introducing time dependency into these models, the classification of user files with a temporal element can be significantly improved. The system involves cloud-based storage and control circuitry to determine probabilities of user records belonging to different states based on historical data, with recommendations generated for display in a user interface.
The method outlined in the patent involves receiving requests to determine probabilities of user records belonging to various states, retrieving historical data, selecting stochastic probability models based on the history, and generating recommendations. The system further includes the selection of different stochastic probability models based on the number of periodic status checks, with the first model being a Markov chain. The non-transitory, computer-readable medium contains instructions for executing operations related to determining probabilities of user records belonging to different states, selecting appropriate stochastic probability models, and generating recommendations based on the outputs. Overall, the patent focuses on leveraging time dependency in probability models to enhance the efficiency of classifying user files with temporal elements in a database.
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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.
