Okta’s patented method involves processing queries by analyzing data entries and previous queries for computational efficiency. If parameters do not match, group data is used to generate responses. The method adapts based on user feedback and can modify group associations. The system enhances query processing and response generation. GlobalData’s report on Okta 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 Okta, Automation system authentication was a key innovation area identified from patents. Okta's grant share as of February 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Efficient query processing based on data entries or previous queries
A recently granted patent (Publication Number: US11928139B2) outlines a method for efficient data analysis and query processing by a computing device. The method involves receiving a query from a user device, comparing the efficiency of analyzing the query parameters based on data entries versus previous queries, determining correspondence values, and transmitting data indicative of the query to relevant computing devices. The method also involves modifying group data based on query transmissions between different groups and providing responses to subsequent queries based on the analysis of previous data entries.
Furthermore, the patent describes a computing device with processors and memory that execute instructions to receive and analyze queries, determine computational efficiency, establish correspondence values, and facilitate data transmission and response generation. The device can also modify group data based on query transmissions between different groups and provide responses to subsequent queries. The patent emphasizes the importance of computational efficiency in data analysis and query processing, showcasing a systematic approach to optimize resource utilization and enhance overall performance in handling user queries and data analysis tasks.
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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.
