Open Text had 32 patents in artificial intelligence during Q2 2024. Open Text Corp’s patents in Q2 2024 focus on document capture, AI analysis, data anonymization, machine learning classification, and multilingual metadata representation in a content management system. The technologies described involve processing document images, extracting keywords, utilizing AI platforms for insights, testing applications with test scripts, tokenizing and detokenizing data, user-driven classification, machine learning policies, and managing multilingual metadata for users’ preferences and locales. GlobalData’s report on Open Text gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Open Text had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Artificial intelligence augmented document capture and processing systems and methods (Patent ID: US20240211696A1)
The patent filed by Open Text Corp. describes a document capture server that processes document images into electronic documents with textual content. The server determines the document's layout, extracts keywords, classifies the document, and uses an AI platform to analyze the textual content, providing additional insights like sentiment analysis. The server can validate this data, integrate it into workflows, and store it in content repositories or enterprise computing facilities, improving future AI analyses.
The method and system outlined in the patent involve obtaining electronic documents by processing document images, recognizing textual content, determining terms and document class, and obtaining AI data from a server based on the document's class. The AI platform analyzes the textual content, providing enriched metadata like semantic or tonality indicators. The system includes a processor and computer-readable medium for executing these processes, enabling graphical classification, zonal extraction, and integration of AI data into content repositories. The patent emphasizes the importance of AI-driven insights in document processing, enhancing data validation and workflow integration within enterprise environments.
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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.
