International Business Machines had 560 patents in digitalization during Q4 2023. The patents filed by IBM in Q4 2023 include methods for automatic file management, utilizing digital twin simulation to mitigate noise, node management for computing clusters, dynamically adjusting message retention times in a messaging system, and automatic management of a data processing system using a Question-Answer system. These inventions aim to improve efficiency and automation in various aspects of computer systems and data processing. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with digitalization as a theme is 56% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Prediction of file interaction by a user (Patent ID: US20230418787A1)
The patent by IBM describes a computer-implemented method, program product, and system for automating file management operations. The method involves identifying files to monitor, generating tracking attributes for these files, monitoring user interactions with the files, creating prediction vectors based on user interactions, determining files with tracking attributes correlating with prediction vectors, and performing operations on these files accordingly. The tracking attributes include monitoring file creation, associations, alterations, and access, allowing for detailed tracking and analysis of file interactions.
The patent further details the computer program product and system implementing the method, with additional claims specifying the tracking attributes' functions and capabilities. These include tracking file creation details such as source programs, download locations, and user creators, monitoring file associations to identify copies or derivatives, tracking file alterations like filename history and compression, and monitoring file access to record user interactions and frequency. The system's ability to generate prediction vectors based on user interactions and tracking attributes allows for efficient and automated file management operations, enhancing user productivity and data organization.
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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.
