State Farm Mutual Automobile Insurance‘s patent involves a task management platform that uses machine-learning to suggest tasks based on multi-team activity data across different locations. The system includes a dashboard application on a client device, enabling users to assign suggested tasks via a graphical user interface. GlobalData’s report on State Farm Mutual Automobile Insurance 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 State Farm Mutual Automobile Insurance, Digital lending was a key innovation area identified from patents. State Farm Mutual Automobile Insurance's grant share as of January 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Machine-learning system for suggesting tasks via interactive gui
A recently granted patent (Publication Number: US11887029B2) discloses a machine-learning based system designed to present suggested tasks through a graphical user interface (GUI). The system involves a dashboard application running on a client device of a first user, communicating with a server over a computer network. The server is responsible for training a machine-learning model to suggest tasks based on activity data from a group of users and trigger data. The suggested task is then generated based on this data and presented to the first user via the dashboard application, allowing for easy assignment to other users through a drag-and-drop interface on the GUI.
Furthermore, the patent includes various claims related to training the machine-learning model based on geographic location, team size, team member characteristics, time efficiency, and resource efficiency associated with the users. The system also determines the suggested user to whom the task should be assigned based on skill profiles or workload capacities. Additionally, the patent covers the method for presenting suggested tasks to users and the computer-readable media storing instructions for executing the system. Overall, the patent outlines a sophisticated system that leverages machine learning to streamline task assignment processes within a user group, enhancing efficiency and user experience through a user-friendly interface.
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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.
