Toronto-Dominion Bank has been granted a patent for a computer-implemented apparatus that utilizes robotic process automation to manage compliance workflows and test programmatic interfaces. The system identifies deviations in response data, generates exception data, and modifies interface functionalities accordingly. GlobalData’s report on Toronto-Dominion Bank 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 Toronto-Dominion Bank, Blockchain-based gaming platforms was a key innovation area identified from patents. Toronto-Dominion Bank's grant share as of July 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Adaptive compliance workflow management using robotic process automation
The patent US12067580B2 describes an innovative apparatus and method designed to enhance the functionality of programmatic interfaces by dynamically responding to deviations in expected data responses. The core of the invention involves a processor that executes instructions to analyze input data associated with triggering events, generate corresponding response data, and identify any discrepancies between the actual response and the expected response. When deviations are detected, the system generates exception data that characterizes these discrepancies and performs operations to modify the functionality of the programmatic interface accordingly. This process aims to improve the reliability and accuracy of interactions with the interface.
Further elaboration on the apparatus reveals that it includes memory for storing instructions and session data, which helps in tracking the relationship between input data, response data, and any exceptions that arise. The system can also compute an exception metric based on historical session data to assess the frequency of deviations. If this metric exceeds a predetermined threshold, the apparatus initiates modifications to the programmatic interface's functionality. Additionally, the invention incorporates machine learning or artificial intelligence processes to refine the input data and response handling further. This comprehensive approach not only addresses immediate discrepancies but also facilitates ongoing improvements to the interface's performance, making it a significant advancement in the field of programmatic interfaces.
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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.
