The Bank of Montreal has developed a New Issue Management System (NIMS) platform to streamline data capture and reporting for new issuing deals. The platform utilizes machine learning models to enhance data quality and automate processes, improving efficiency and consistency across various business lines. GlobalData’s report on Bank of Montreal gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Bank of Montreal, 3D memory devices was a key innovation area identified from patents. Bank of Montreal's grant share as of February 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.

Data management platform for new issue deals

Source: United States Patent and Trademark Office (USPTO). Credit: Bank of Montreal

A recently granted patent (Publication Number: US11928745B2) outlines a method for efficiently managing new issuing deals through a dynamic form system. The method involves receiving input data from multiple computing devices related to a new issuing deal, generating data entries using a mapping model, and utilizing a machine learning model to assess the quality of information for each entry. A dynamic form is then created for the new issue deal, with form fields automatically populated based on the data entries and their corresponding quality values predicted by the machine learning model. Stakeholders are provided remote access to the dynamic form to input additional data, which is then used to update the form and alert stakeholders of any changes.

Furthermore, the patent includes provisions for training the machine learning model with updated data entries, transmitting alerts to stakeholders about new live deals, generating visual elements for flagged data, determining interested buyers and allotments control fills, and creating buyer records based on additional data entries. The system described in the patent involves a processor connected to a data storage device, configured to receive input data, generate data entries, execute the machine learning model, create dynamic forms, provide remote access to stakeholders, and transmit update alerts. This innovative method aims to streamline the process of managing new issuing deals by automating data entry, improving data quality assessment, and enhancing stakeholder communication through dynamic forms and alerts.

To know more about GlobalData’s detailed insights on Bank of Montreal, buy the report here.

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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.