Thales had seven patents in internet of things during Q1 2024. Thales SA’s patent involves a method for analyzing the use-case of an application by generating execution traces, capturing user interactions, and applying a classification model to determine successful completion of use cases. This helps product vendors understand if customers are receiving value from the product. GlobalData’s report on Thales gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Thales grant share with internet of things as a theme is 71% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: System for use-case classification (Patent ID: US20240080371A1)

The patent filed by Thales SA describes a method for analyzing the usage of an application by instrumenting the software application or environment to generate execution traces at specific points, capturing these traces during user interactions, and applying a classification model to report the use of the application. The machine learning module automatically adapts and updates the classification model to determine if the customer successfully completes use cases, helping the product vendor understand the value delivered by the application. The method involves presenting users with reference use-case scenarios, correlating execution traces to interaction steps, and updating the learning of the classification model based on these scenarios, ensuring continuous monitoring and real-time reporting of use-case scenarios.

Furthermore, the method includes detecting events during use cases, generating execution traces in response to these events, and updating the learning and reporting based on these events. The environment in which the application runs, such as a cloud load balancer, is also instrumented to optimize performance, distribute tasks, and manage user traffic effectively. Additionally, the method involves collecting metadata during user interactions, including information about software licenses, and using this data to enhance the learning of the classification model. Overall, the patent outlines a comprehensive approach to analyzing application usage, ensuring that vendors can monitor user interactions, understand the value provided by the application, and continuously improve the user experience through machine learning and real-time reporting.

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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.