Cloud Software Group had two patents in big data during Q2 2024. Citrix Systems Inc has developed a system for data quality awareness in security analytics solutions. The system uses machine learning to analyze events generated for interactions between computing devices, determining a data quality score for a selected field in the data set. This score is then compared to a threshold to provide an indication of performance for the action performed with the data set. GlobalData’s report on Cloud Software Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Cloud Software Group had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for introducing data quality awareness in security analytics solutions (Patent ID: US20240126888A1)
The patent filed by Citrix Systems Inc. describes a system that utilizes machine learning to assess data quality in security analytics solutions. The system receives a data set of events from interactions between computing devices, selects a field impacting an action based on a trained model, calculates a data quality score, and provides an indication of action performance based on a threshold comparison. The system can detect security risks or execute search functions, alerting when data quality does not meet the threshold, and uses historical data to establish performance benchmarks.
Furthermore, the system can identify fields impacting actions, select rules from a repository to determine performance, and prioritize fields based on their impact levels. It can also onboard new data sources, analyze fields using semantic discovery techniques, generate profile metrics, and rank fields by impact level. The patent covers a method and a computer-readable medium storing instructions for implementing the system, emphasizing the importance of data quality assessment in security analytics and search functions.
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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.
