BT Group has been granted a patent for a method that manages connected network devices. The method involves detecting updates to device descriptor files, analyzing these updates alongside historical data, and using predictive analytics, including machine learning, to assess impacts and implement necessary configuration updates. GlobalData’s report on BT Group 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 BT Group, Cloud gaming was a key innovation area identified from patents. BT Group's grant share as of July 2024 was 51%. Grant share is based on the ratio of number of grants to total number of patents.
Network device management using predictive analytics and machine learning
The patent US12074763B2 outlines a method and system for managing a network of connected devices, particularly focusing on the handling of device descriptor files. The process begins with the detection of an updated device descriptor file for a network device, which is stored in a data store managed by a peer-to-peer network. The method involves analyzing both the updated file and historical data regarding previous updates. Predictive analytics, utilizing a machine learning decision tree algorithm, is then performed to assess the potential impact of the update on the network. This analysis aids in determining necessary configuration updates, which are subsequently implemented to optimize network performance. The results of this predictive analysis are also stored in the data store for future reference.
Additionally, the patent specifies that the first network device may be an Internet of Things (IoT) device and that the method can be executed by a software-defined network controller. The configuration updates can alter data flow within the network and may be triggered by updates from manufacturers, application providers, or service providers. Notably, the updated device descriptor file can be stored on a blockchain network after approval from multiple parties involved with the device. The system also includes a non-transitory computer-readable medium that contains instructions for executing the described method, ensuring that the management of connected network devices is efficient and data-driven.
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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.
