ThoughtSpot had one patents in artificial intelligence during Q2 2024. ThoughtSpot Inc’s patent filed in Q2 2024 describes a system for automatic data modeling, where an analytical object is identified based on usage intent, an analytical model is generated and trained using results data, and visualization of results data is presented based on the trained analytical model and analytical object. GlobalData’s report on ThoughtSpot gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ThoughtSpot had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Automatic machine learning data modeling in a low-latency data access and analysis system (Patent ID: US20240211450A1)
The patent filed by ThoughtSpot Inc. describes a method and apparatus for automatic data modeling in a data access and analysis system. The system involves generating an analytical model generation data query, obtaining a trained analytical model based on results data, and outputting visualizations of results data obtained using the trained model. The method includes identifying an analytical object, generating a resolved request, and executing an analytical model results data query. The system automatically generates queries, stores analytical models, and presents visualizations based on the trained model and analytical object.
The claims associated with the patent detail the specific steps involved in the method, such as generating queries in response to data requests, using structured query languages, and interacting with external databases or distributed in-memory databases. The apparatus described includes a processor and computer-readable storage medium to execute instructions for automatically generating queries, obtaining trained models, and outputting visualizations. The patent focuses on the automation of data modeling processes within a data access and analysis system, streamlining the generation and utilization of analytical models for efficient data analysis and visualization.
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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.
