Open Text had nine patents in big data during Q4 2023. Open Text Corp’s patents in Q4 2023 focus on innovative data processing systems for artificial intelligence-based control settings, efficient computation of Venn diagrams on columnar database systems, intelligent integration systems for creating avatars in computing environments, flexible and scalable AI and analytics platforms with advanced content analytics, and a system for generating risk scores in near real-time by combining real-time application events with batch processes. GlobalData’s report on Open Text gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Open Text grant share with big data as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Artificial intelligence based refinement of automatic control setting in an operator interface using localized transcripts (Patent ID: US20230421694A1)
The patent filed by Open Text Corp describes a data processing system for setting controls in an evaluation interface using artificial intelligence. The system analyzes completed evaluations to identify common words or phrases associated with evaluation answers, creates auto answer parameters based on this analysis, and tests these parameters on a set of transactions. If the auto answer parameters perform accurately above a threshold level, the system configures the evaluation system to preset an answer control in the evaluation operator interface.
The data processing system includes a processor, a data store with transactions and completed evaluations, and computer-readable instructions for determining common words or phrases in transcript portions associated with evaluation answers. These instructions further involve creating auto answer parameters, auto answering questions for test transactions using these parameters, and configuring the evaluation system based on the accuracy of the auto answers. By utilizing artificial intelligence, the system aims to streamline the evaluation process by automatically setting controls in the interface, improving efficiency and accuracy in evaluating transactions.
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