EchoStar has been granted a patent for a distributed data platform that predicts and prepares data transmission between network infrastructure components. The system identifies data, predicts data needs based on network events, and efficiently transmits data as required. GlobalData’s report on EchoStar 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 EchoStar, was a key innovation area identified from patents. EchoStar's grant share as of April 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Predictive data transmission system for network infrastructure components
A recently granted patent (Publication Number: US11968250B2) discloses a system and method for efficiently transmitting data between network infrastructure components. The system includes at least one processor and memory storing computer-executable instructions that enable the system to identify network infrastructure components, predict data requests based on network events, prepare and transmit data between components in real-time or near-real-time. The system can also handle model alterations and data standards compliance within the network infrastructure components.
Furthermore, the patent describes a method for transmitting data between network infrastructure components, focusing on preparing and transmitting data related to networking services in real-time. The method involves predicting data requirements, preparing the data for transmission, and ensuring seamless data transfer between components. Additionally, the method addresses model alterations and intermediary components within the network infrastructure. The patent also covers a network infrastructure data structure stored on storage devices that facilitate efficient data transmission between components based on predictions and network events, ensuring smooth operation and data flow within the network infrastructure.
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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.
