Toronto-Dominion Bank had nine patents in big data during Q1 2024. The Toronto-Dominion Bank filed patents in Q1 2024 for computing platforms that execute data processing tasks in parallel, managing storage resources of a distributed file system automatically based on past usage data, and a computer server system that categorizes and analyzes transaction data from big data sources to generate graphical user interfaces for display on computing devices. GlobalData’s report on Toronto-Dominion Bank gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Toronto-Dominion Bank grant share with big data as a theme is 11% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: System and method for executing data processing tasks (Patent ID: US20240061705A1)

The patent filed by The Toronto-Dominion Bank describes computing platforms, methods, and storage media for executing data processing tasks by distributing serially executable software object tasks for parallel execution across available threads and machines. The shared thread data allows for the exchange of thread status data between different threads, enhancing speed and efficiency while reducing processing power and memory usage. The apparatus and method outlined in the patent enable the parallel execution of software tasks without the need for modification to the underlying software code, dynamically adjusting the number of available threads based on workload, and distributing tasks across different types of available machines.

Furthermore, the patent details the use of a parallel runner object to execute classes associated with an original software object in parallel, even if the original software object was designed for serial execution. The distribution of tasks can be based on system configuration data and can involve separate machines or processing units with distinct resources. The patent also covers the storage of shared thread data on the same machine where the tasks are distributed, ensuring efficient communication between threads. Overall, the patent presents a comprehensive approach to optimizing data processing tasks through parallel execution, resource management, and shared data storage.

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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.