Elisa has been granted a patent for a computer-implemented method that prioritizes maintenance for network devices. The method organizes devices based on customer and usage information, dynamically assigns maintenance priority classes, and schedules maintenance to preemptively address potential communication failures. GlobalData’s report on Elisa gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Elisa, AI assisted network mgmt was a key innovation area identified from patents. Elisa's grant share as of June 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic maintenance priority setting for network devices
The patent US12034606B2 outlines a computer-implemented method and apparatus for setting maintenance priorities for network devices within a communication network. The method involves arranging network devices into an ordered list based on customer requirements and usage information. It dynamically establishes at least two maintenance priority classes, which are used to schedule maintenance operations aimed at addressing potential communication failures before they occur. The maintenance priority classes are designed to set specific time limits for resolving these forthcoming failures, ensuring that higher priority devices receive timely attention.
Additionally, the method includes provisions for obtaining relevant customer and usage information from databases and network operation systems. It allows for the dynamic assignment of devices to different priority classes, taking into account previous maintenance priorities and establishing default classes for new devices. The process can be repeated at predefined intervals, ensuring that maintenance priorities remain current and effective. The apparatus described in the patent comprises a processor and memory configured to execute the outlined methods, facilitating efficient management of network device maintenance.
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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.
