State Farm Mutual Automobile Insurance had 80 patents in artificial intelligence during Q2 2024. State Farm Mutual Automobile Insurance Co has filed patents for methods and systems related to generating user mobility profiles, creating processing graphs for computation, enhancing personal property replacement after insurance events, generating agile and personalized applications, and utilizing LIDAR data and AI for building 3D models of landscapes. These innovations aim to improve user experiences, streamline insurance processes, and enhance data analysis capabilities. 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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State Farm Mutual Automobile Insurance had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: System and method for generating mobility profile (Patent ID: US20240214794A1)
The patent filed by State Farm Mutual Automobile Insurance Co. describes a method and system for generating a user mobility profile by receiving, storing, analyzing, and displaying mobility data. The computing system includes a processor and memory storing instructions to execute these functions. Additionally, a non-transitory computer-readable medium contains program instructions for receiving, storing, analyzing, generating, transmitting, and displaying mobility data.
The patent's claims outline a computer-implemented method that involves receiving user mobility data, storing it, processing it using a machine learning model with input neurons to generate a risk profile output, generating user-specific information based on the output, transmitting this information to the user's device, generating smart suggestions, and transmitting these suggestions to the user's device. This method aims to provide personalized insights and recommendations based on the user's mobility data, potentially enhancing user experience and safety.
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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.
