DataRobot had eight patents in big data during Q1 2024. DataRobot Inc’s patents filed in Q1 2024 focus on methods and systems for generating and executing applications that provide insights into model operation without requiring coding knowledge, customizing automated machine learning systems, and deploying virtual sensors to machine learning projects. These innovations aim to simplify the process of utilizing machine learning models and optimizing their performance for users without extensive technical expertise. GlobalData’s report on DataRobot gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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DataRobot grant share with big data as a theme is 12% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and related methods for developing artificial intelligence applications based on machine learned models (Patent ID: US20240086775A1)
The patent filed by DataRobot Inc. describes methods and systems for generating and executing applications that provide insights into a model's operation without requiring coding or AI knowledge. The method involves deploying a model using input data to generate a predicted dataset, presenting applications for generating new scenarios and optimizing features, analyzing model features, and executing applications based on user selections. The system ranks features by importance, filters features based on impact value, and generates alternative predicted datasets with optimized values for selected features.
The patent outlines a computer system that deploys models via machine learning, presents applications for generating scenarios and optimizing features, and allows users to interact with model features and execute applications based on selections. The system can rank features by importance, filter features based on impact value, and generate alternative predicted datasets with optimized values for selected features. The system aims to provide users with a user-friendly interface to interact with models and gain insights without requiring expertise in coding or AI methodologies.
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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.
