Bank of America had seven patents in edge computing during Q2 2024. The patent filed by Bank of America Corp in Q2 2024 focuses on enhancing redundancy of computer systems by utilizing a system architecture that includes a digital twin to simulate data records and process computing tasks in the event of technical failures like servers going offline or losing network connections. This architecture ensures the continuous operation of computer systems despite infrastructure failures. GlobalData’s report on Bank of America gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Bank of America had no grants in edge computing as a theme in Q2 2024.

Recent Patents

Application: Digital twinning data simulator (Patent ID: US20240193327A1)

The patent filed by Bank of America Corp. focuses on enhancing redundancy of computer systems by introducing a system architecture that includes a digital twin to maintain operation despite technical failures. The digital twin receives state information from the primary computer system and generates outputs for computing tasks using simulated data when the primary system is offline. The architecture also involves an AI engine that constructs digital twins based on state information captured at different twinning rates to ensure continuous operation.

Furthermore, the patent claims describe a redundant technology infrastructure that includes edge nodes, an AI engine, and an artificial intelligence engine to capture performance metrics, construct digital twins, and redirect computing tasks to the digital twins when the primary system is offline. The AI engine is designed to proactively take the primary system offline based on performance metrics and synchronize data sets when the primary system comes back online. Overall, the patent aims to provide a robust system architecture that ensures continuous operation of computer systems even in the face of technical failures.

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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.