International Business Machines had 131 patents in big data during Q1 2024. IBM Corp’s patents in Q1 2024 focus on optimizing test datasets for resource efficiency, constructing directed graphs for conversational models, error correction in memory systems, enhancing user experience with audio-visual content, and recommending replacement of failed drives in data centers based on machine learning models. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with big data as a theme is 52% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Generating test data for application performance (Patent ID: US20240104009A9)

The patent filed by IBM focuses on a computer-implemented method for extracting test datasets to enhance testing and resource optimization. The method involves generating an impact scoring table of job transformations based on source code analysis, creating data extraction rules, extracting a test dataset, evaluating against user-defined thresholds, and outputting the representative test dataset through a user interface. The system also executes a test run on a full dataset, identifies bottlenecks, generates a recommendation report, retrieves source datasets, and user requirements, and performs runtime monitoring and analysis.

Furthermore, the patent includes claims for a computer system and a computer program product that implement the method described. These claims detail additional functionalities such as identifying connections between execution steps and source code, retrieving job-related data from databases, executing automated analysis tools, and comparing runtime performance parameters. The system and program product aim to streamline the process of extracting test datasets by leveraging source code analysis, impact scoring, and user-defined thresholds to optimize testing and resource allocation in distributed data processing environments.

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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.