Palantir Technologies had 24 patents in artificial intelligence during Q4 2023. The patents filed by Palantir Technologies Inc in Q4 2023 focus on systems and methods for predictive maintenance, diagnosis of device failures, intelligent data filtering, sensor correlation by edge devices, and sensor cueing. These technologies aim to improve efficiency, reduce downtime, and facilitate decision-making in various industries. GlobalData’s report on Palantir Technologies gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Palantir Technologies grant share with artificial intelligence as a theme is 12% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Predictive modelling (Patent ID: US20230418282A1)
The patent filed by Palantir Technologies Inc. describes systems, methods, and computer-readable media for predicting maintenance events associated with resources. The method involves retrieving historic maintenance data preceding the maintenance event, identifying relevant data indicative of the event, storing this data as precursor signals, and monitoring future maintenance data from related resources to predict future occurrences of the event. The system utilizes an ontology to determine and update data associated with maintenance events, incorporating sensor data and allowing for modifications to the ontology to enhance predictive capabilities, potentially using machine learning models like decision trees or neural networks.
The patent outlines a computer-implemented method and system for predicting maintenance events by analyzing historic maintenance data, identifying precursor signals, and monitoring subsequent data to forecast future occurrences. The method involves utilizing an ontology to manage and update data related to maintenance events, incorporating sensor data, and allowing for modifications to enhance predictive accuracy. The system is designed to adapt to changes in data formats and types through ontology modifications, potentially incorporating machine learning models like decision trees or neural networks for predictive analysis.
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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.
