OneTrust had four patents in digitalization during Q1 2024. OneTrust LLC’s patents filed in Q1 2024 focus on updating classifier priorities in a model and identifying targeted data for a data subject across multiple data objects. The first patent involves determining priority order for classifiers based on first classifier labels generated from a test dataset, while the second patent involves identifying targeted data by querying data objects based on metadata and data fields associated with specific data types. GlobalData’s report on OneTrust gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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OneTrust grant share with digitalization as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamically updating classifier priority of a classifier model in digital data discovery (Patent ID: US20240070319A1)
The patent filed by OneTrust LLC discloses methods, systems, and computer-readable storage media for updating the priority of classifiers in a classifier model. The system extracts data elements from a digital dataset, generates classifier labels for a subset of data elements, determines a priority order for the classifiers based on these labels, and then applies the classifiers according to the priority order to generate labels for another subset of data elements. The priority order is updated based on match rates between classifiers and data elements, ensuring efficient and accurate classification.
Furthermore, the system can determine confidence scores for relationships between data elements and classifiers, allowing for the addition of new classifiers based on these scores. The system also allows for the generation of sub-classifier labels and the updating of the priority order based on the frequency of classifier labels. Overall, the patent describes a comprehensive system for dynamically updating classifier priorities in a model, improving the accuracy and efficiency of data classification processes.
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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.
