Toronto-Dominion Bank had 17 patents in big data during Q4 2023. The Toronto-Dominion Bank has filed patents related to real-time credit score prediction using machine learning, preprocessing large inference files for optimized transmission, vehicle total loss likelihood prediction using multiple machine learning models, processing credit application statuses automatically, and determining when to initiate a pull of accumulated data transfer amount. These patents showcase the bank’s focus on utilizing technology and data analysis to improve various aspects of their operations. GlobalData’s report on Toronto-Dominion Bank gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Toronto-Dominion Bank grant share with big data as a theme is 17% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Application of trained artificial intelligence processes to encrypted data within a distributed computing environment (Patent ID: US20230418956A1)
The patent filed by The Toronto-Dominion Bank discloses a computer-implemented process that predicts a customer's credit score in real-time using machine learning or artificial intelligence applied to encrypted event data at a third-party computing cluster. An apparatus transmits encrypted event data to the computing system, which then applies a trained artificial intelligence process to generate encrypted output data representing the predicted credit score. This output data is decrypted using a homomorphic decryption key and transmitted to a device for graphical representation within a digital interface.
The disclosed apparatus further allows for the presentation of additional graphical representations reflecting the impact of events on the customer's credit score, based on encrypted event data and customer data. The artificial intelligence process, such as a convolutional neural network, is trained using encrypted training data generated from encrypted customer data and reporting data. The apparatus also enables the modification of the digital interface based on differences between predicted and prior credit scores, with notifications being generated and transmitted to the device when the predicted credit score falls below a threshold or when the difference exceeds a threshold value. Additionally, the apparatus can access centralized data repositories for encrypted customer data and adaptively train the artificial intelligence process using encrypted training data sets.
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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.
