FMR has filed a patent for a computer-implemented method to evaluate the quality of a job role in a user group. The method involves determining assigned and outlier resources accessible to the users, calculating access scores based on popularity and criticality of the resources, and deriving a weighted sum to represent the job role’s quality. GlobalData’s report on FMR gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on FMR, AI for workflow management was a key innovation area identified from patents. FMR's grant share as of June 2023 was 1%. Grant share is based on the ratio of number of grants to total number of patents.

Method for evaluating quality of a job role in a user group

Source: United States Patent and Trademark Office(USPTO). Credit: FMR LLC

A recently filed patent (Publication Number: US20230186221A1) describes a computerized method and system for evaluating the quality of a job role in a user group. The method involves determining a plurality of assigned resources and outlier resources accessible by the users in the user group. An included access score is calculated based on the popularity and criticality of the assigned resources, while an outlier access score is calculated based on the popularity, total number of users, and criticality of the outlier resources. These scores are then combined in a weighted sum to represent the quality of the job role.

The patent also includes various claims related to the method and system. Higher risk ratings for assigned resources indicate higher criticality, while higher risk ratings for outlier resources indicate lower criticality. The included access score is computed by multiplying the risk rating with the percentage of users accessing the assigned resource, and a total actual score is aggregated from these individual scores. The included access score is then calculated as a percentage of the total actual score divided by the total possible score. Similarly, the outlier access score is computed for outlier resources.

The system described in the patent includes a management module for tracking assigned and outlier resources, and a health evaluation engine for calculating the access scores and the weighted sum. The management module includes a data repository for storing resource-related data and a processing engine for determining compliant and non-compliant resources. An automation engine is also included to automatically add or remove resources to ensure the weighted sum exceeds a predefined health threshold.

Overall, the patent presents a computerized method and system for evaluating the quality of a job role in a user group based on the accessibility and criticality of assigned and outlier resources. The method and system aim to provide a comprehensive assessment of the job role's quality by considering both popular and critical resources, as well as less popular and less critical resources. The inclusion of automation capabilities allows for dynamic adjustments to maintain a desired level of quality.

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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.