MicroStrategy has been granted a patent for a method that utilizes machine learning to categorize attribute data, generating lookup and relationship tables for faster and more accurate query results. The system decreases data access time by efficiently organizing and retrieving information. GlobalData’s report on MicroStrategy 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 MicroStrategy, AI for workflow management was a key innovation area identified from patents. MicroStrategy's grant share as of May 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Data access time reduction using lookup and relationship tables
A recently granted patent (Publication Number: US11995082B2) outlines a method for reducing data access time through the use of a lookup table and a relationship table. The method involves receiving a trained categorization machine learning model, a variety of tables containing attribute data, identifying attributes and corresponding data, categorizing attribute data, and generating the lookup and relationship tables based on the attributes. These tables are then utilized to respond to queries for attribute data efficiently.
Furthermore, the patent includes additional claims such as the incorporation of attribute-related information in the lookup table, the utilization of remote databases for the tables, employing an identification machine learning model to identify attributes, and the potential labeling of the tables based on various factors. The system and non-transitory computer-readable medium described in the patent also follow similar operations to decrease data access time effectively. Overall, the patent provides a detailed method and system for optimizing data access through the use of machine learning models and specialized tables, potentially offering significant improvements in data retrieval efficiency.
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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.
