Lumen Technologies had ten patents in digitalization during Q2 2024. Lumen Technologies Inc has filed patents for novel tools and techniques for data storage and retrieval, content delivery using distributed ledger and AI-based transcoding technologies, dynamic remediation of streaming device issues, and upload file optimization via transaction transformation. These patents aim to improve data associations, optimize content delivery, remediate streaming device failures, and facilitate efficient file uploads to the cloud. GlobalData’s report on Lumen Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Lumen Technologies had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Method and system for implementing data associations (Patent ID: US20240211468A1)
The patent filed by Lumen Technologies Inc. introduces novel tools and techniques for implementing data storage and retrieval, specifically focusing on data associations. The system involves an associations rules engine that queries data aggregation data services to determine associations between data objects, abstracts these relationships, updates metadata catalogs, and provides access to the catalog entry for computational tasks. The method outlined in the patent involves receiving requests for information associated with a data object, retrieving data and relationship rules, querying data services for associations, abstracting relationships, updating catalog entries, and providing access to the catalog entry for computational tasks.
The patent further details the addition of attributes associated with data objects, the inclusion of association rules, and the analysis of data objects and stored data to identify associations. The system also involves a business rules engine separate from the associations rules engine to define associations between data objects. The patent outlines a comprehensive method and system for managing data associations efficiently, with a focus on abstraction, cataloging, and computational tasks based on the identified associations.
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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.
