International Business Machines had 757 patents in artificial intelligence during Q2 2024. IBM filed patents for methods, systems, and computer program products related to dynamic shopping, neural network training, automated reconciliation of forecasts, and relationship graph generation. These patents involve processes such as comparing images, clustering data, adding products to orders, and transforming data using neural-backed decision trees. The inventions aim to improve user experiences, data processing efficiency, and forecasting accuracy. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Prompting data session (Patent ID: US20240211586A1)
The patent filed by IBM describes methods, computer program products, and systems for running prompting data sessions based on user data analysis. The method involves examining user data to determine if a criterion is met for running a prompting data session, then establishing and updating a relationship graph based on the data, and presenting the updated graph to users. The system includes a memory, processor, and program instructions to execute the method. The process includes monitoring user engagement with the relationship graph and adapting the graph based on user interactions to maintain engagement levels.
The patent claims detail various aspects of the method, such as monitoring conversations, converting voice content to text for analysis, and adapting the relationship graph differently for individual users based on linguistic complexity predictions. It also involves adding nodes to the graph based on detected topics in conversations and using clustering analysis to identify relevant assets for the graph. The system is designed to present different versions of the relationship graph to different users, monitoring their engagement levels, and adjusting the graph content accordingly. Overall, the patent focuses on leveraging user data to create and update relationship graphs for personalized prompting data sessions.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
