International Business Machines had 60 patents in regtech during Q4 2023. IBM filed patents in Q4 2023 for systems and methods related to detecting and obstructing skimmer devices, improving transformation selection in ensemble machine learning models, enabling transaction-risk evaluation by resource-limited devices, and simulating random walks on dynamic network graphs to determine convergence nodes. These patents cover a range of technologies aimed at enhancing security, machine learning, and data analysis processes. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with regtech as a theme is 51% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Detecting network patterns using random walks (Patent ID: US20230410113A1)
The patent filed by IBM describes a system that receives a dynamic network graph, selects an origination node, and deploys a random walk simulation on the graph to determine a convergence node. The system identifies nodes with specific transfer characteristics, simulates transfers between nodes, and flags suspicious convergence nodes based on simulation instances.
The system, method, and computer program product outlined in the patent focus on analyzing network graphs through random walk simulations to identify convergence nodes. By selecting an origination node and simulating transfers to other nodes, the system can detect suspicious nodes based on specific transfer characteristics and simulation instances. The process involves setting thresholds for transfers, time periods, and the number of simulation instances to determine convergence nodes accurately. This technology could be valuable for detecting anomalies or suspicious activities within dynamic network graphs.
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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.
