Allstate has filed a patent for enhanced telematics processing systems that integrate third-party source data and determine customized driving outputs. The system receives telematics data and third-party source data, enriches the telematics data using machine learning algorithms, and generates a standardized common trip format output. The patent aims to improve data integration and provide more accurate driving outputs. GlobalData’s report on Allstate gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData, Allstate's grant share as of September 2023 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Enhanced telematics processing system with third party data integration
A recently filed patent (Publication Number: US20230314153A1) describes a computing platform that aims to enhance telematics output data by incorporating third-party source data and utilizing machine learning algorithms. The platform includes at least one processor, a communication interface, and memory to store computer-readable instructions.
The computing platform is designed to receive telematics output data and third-party source data from multiple sensor devices through the communication interface. The telematics output data is then validated using machine learning algorithms and analysis techniques. Once validated, the platform generates enhanced telematics output data by combining the telematics output data with the third-party source data.
Before standardizing the telematics output data, the platform ingests the enhanced telematics output data. Additionally, it continues to ingest additional enhanced telematics output data for a predetermined period of time. After the expiration of this period, the platform determines a standardized common trip format (CTF) output based on the enhanced telematics output data and the additional enhanced telematics output data.
This patent filing suggests a computing platform that aims to improve the accuracy and reliability of telematics output data by incorporating third-party source data and utilizing machine learning algorithms. By validating the telematics output data and generating enhanced output data, the platform aims to provide more comprehensive and standardized information.
The inclusion of machine learning algorithms indicates the platform's ability to continuously learn and adapt, potentially improving its performance over time. The standardized common trip format (CTF) output allows for consistent and compatible data representation, which can be valuable for various applications in the field of telematics.
Overall, this patent filing showcases advancements in the field of telematics and highlights the potential for improved data analysis and interpretation in the future.
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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.
