Broadridge Financial Solutions. has been granted a patent for a method that processes user queries in natural language by determining user persona attributes and generating context-specific responses through a model orchestration large language model, enhancing data interaction and user experience in data record management. GlobalData’s report on Broadridge Financial Solutions 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 Broadridge Financial Solutions, was a key innovation area identified from patents. Broadridge Financial Solutions's grant share as of July 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.
Natural language query processing using user context attributes
The patent US12061970B1 outlines a method and system for processing user-provided data record queries using a model orchestration large language model (LLM). The process begins with a user submitting a natural language request, which is received by a processor. The system determines a user profile that includes persona attributes such as the user's role within an organization and associated security parameters. Based on these attributes, the processor generates context queries to obtain additional context-specific information. This context is then used to modify the LLM's runtime, allowing for a customized response to the user's query. The LLM outputs instructions to data record processing machine learning agents, which execute the necessary actions and return responses that are displayed in a graphical user interface.
Additionally, the patent describes mechanisms for ensuring compliance and explainability within the system. It includes provisions for parallel processing of multiple machine learning agents, some of which may operate adversarially to enhance response accuracy. The system can also verify compliance with established rules and generate variations of responses if non-compliance is detected. Furthermore, the processor can track instructions and generate prompts to elicit natural language explanations from the LLM, enhancing transparency in the decision-making process. Overall, the patent presents a comprehensive framework for leveraging advanced machine learning techniques to improve user interaction with data records while maintaining compliance and providing clear explanations of the system's operations.
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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.
