Hexagon has been granted a patent for a collaboration management system that utilizes a database to manage operator information, a data receiver for electronic messages, a message parser for classification, and an unsupervised recommendation engine to deliver relevant information to operators based on predefined criteria and ontologies. GlobalData’s report on Hexagon 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 Hexagon, AI assisted CAD was a key innovation area identified from patents. Hexagon's grant share as of July 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.
Collaboration management system for processing electronic messages
The granted patent US12067042B2 outlines a collaboration management system designed to facilitate interaction among multiple participating operators, each equipped with an electronic device. Central to the system is a database that stores operator information, including assigned operator classes. The system features a data receiver that collects electronic messages from various communicating agents, which are then parsed to extract relevant information. A message parser classifies these messages according to predefined ontologies, while an unsupervised recommendation engine utilizes machine learning algorithms and pre-trained models to determine the relevance of the extracted information for specific operator classes. This engine combines insights from both artificial intelligence and rule-based models to identify class-relevant information, which is subsequently distributed to the operators' devices.
Additionally, the system incorporates features such as the ability to handle various forms of information, including textual, image, and spoken data, and can process messages from social media platforms. The data distributor is configured to deliver relevant information via remote networks, and it can adapt to the behavior of participating operators to dynamically assign appropriate operator classes. The system also supports user feedback to refine the machine learning algorithms, ensuring that the information provided remains pertinent to the operators' needs. Furthermore, the use of advanced natural language processing techniques, including the BERT language model, enhances the classification and relevance determination processes, making the system robust for managing collaborative efforts among diverse operators.
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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.
