Open Text had nine patents in future of work during Q1 2024. Open Text Corp has developed systems and methods for intelligent delivery of communications using a machine learning engine that selects the most effective channel based on recipient and context information. This eliminates the need for complex static communication flows and allows for dynamic selection of output channels for different recipients and communications. 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 grant share with future of work as a theme is 88% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for intelligent delivery of communications (Patent ID: US20240106774A1)
The patent filed by Open Text Corp. describes systems, methods, and products for intelligent delivery of communications using a machine learning engine that identifies the most effective output channel based on recipient and context information. This eliminates the need for complex static communication flows as the machine learning engine dynamically selects the output channel for each communication. The system includes components such as a communication generator, communication flow engine, and communication delivery tracker to facilitate the generation and delivery of runtime communications to recipients through internal or external system output connectors.
The method outlined in the patent involves the communication flow engine sending requests to the communication generator to create runtime communications based on enterprise events received from a communication delivery tracker. These runtime communications are tailored to recipients based on attributes received from a data platform, ensuring effective delivery. The method also includes processing delivery events associated with recipients to further enhance communication delivery. Additionally, the patent covers a computer programming product that enables the implementation of the described communication management and delivery system, including the generation of runtime communications and processing of flow events related to communication flow models.
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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.
