Royal Bank of Canada had seven patents in big data during Q4 2023. The Royal Bank of Canada filed patents related to managing data processing using distributed network resources, detecting network anomalies by monitoring external platforms, preparing a trained complete selective classifier, and reinforcement learning in a dynamic resource environment. These patents focus on improving data processing efficiency, anomaly detection, classifier training, and resource allocation in a dynamic environment. GlobalData’s report on Royal Bank of Canada gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Royal Bank of Canada grant share with big data as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Synchronized processing of data by networked computing resources (Patent ID: US20230410200A1)
The patent filed by the Royal Bank of Canada focuses on systems, methods, and products for managing data processing across multiple networked computing resources. Specifically, the patent addresses the synchronization of requests for processing data using distributed network resources. The invention involves associating timing parameters with signals representing instructions for executing data processes involving financial transactions, routing these signals to networked computing resources based on the timing parameters to achieve synchronized execution of transactions across different resources.
The device described in the patent includes a processor configured to determine timing parameters based on latencies associated with processing requests by networked computing resources. These timing parameters are used to route instructions for executing financial transactions to achieve synchronized arrival or execution of different parts of the transactions across multiple resources. The method and computer-readable medium outlined in the patent also involve determining timing parameters based on latency monitoring, statistical analysis, historical data, or predictive models to ensure synchronized processing of financial transactions involving commodities, currencies, equities, derivatives, and other financial interests. Overall, the patent aims to optimize the management of data processing across distributed network resources to enhance the efficiency and synchronization of financial transactions.
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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.
