International Business Machines had 65 patents in internet of things during Q2 2024. IBM filed patents in Q2 2024 for scheduling software updates on industrial machines based on historical learning, preventing overloading electrical circuits, privacy-preserving authentication with physical biometric proof, visualizing application switches between devices, and providing decision-making capabilities in mesh network systems using IoT technology. 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 internet of things as a theme in Q2 2024.
Recent Patents
Application: Scheduling a software update on an industrial machine (Patent ID: US20240201972A1)
The patent filed by IBM describes a method and system for scheduling software updates on industrial machines in an IoT environment. The approach involves analyzing historical data, activity workflows, and machine collaboration to identify an optimal time and sequence for software installation. By using machine learning techniques and digital twin simulations, potential negative impacts on workflow execution are minimized through proactive resource allocation adjustments. The system also includes features such as identifying non-computing activities, determining installation time estimates, and engaging machines in predefined tasks before updates.
The method and system outlined in the patent claims aim to streamline the process of scheduling software updates on industrial machines by leveraging historical data and IoT feeds. By analyzing activity sequences, machine collaboration, and potential downtime impacts, the system can identify the best time and sequence for software installation to minimize disruptions in workflow execution. Additionally, features like identifying non-computing activities, calculating installation time estimates, and proactive resource allocation adjustments contribute to optimizing the software update process in an industrial setting.
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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.
