Bank of America had seven patents in edge computing during Q1 2024. The Bank of America Corp filed patents related to energy optimization, a security framework for validating data payloads locally, a hybrid metaverse environment for document processing, a method to reduce duplicates of stored documents, and a system for tracing and recording data elements in transit on a network. These patents focus on improving efficiency, security, and organization within computing systems and networks. GlobalData’s report on Bank of America gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bank of America grant share with edge computing as a theme is 28% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Energy optimization platform using artificial intelligence and edge computing (Patent ID: US20240095628A1)
The patent filed by Bank of America Corp. relates to energy optimization in computing platforms. The system receives event processing requests, identifies parameters, and uses a global energy optimization model to determine the edge computing system for processing. The system then routes the request to the edge system with commands to process it using an energy mix specified by a local energy optimization model. This process involves inputting parameters into the local model to identify the energy mix and executing the request accordingly. The patent includes claims for a computing platform with specific functionalities related to energy optimization, such as training the global and local energy optimization models, identifying edge computing systems based on cost efficiency, and updating the models based on accuracy levels. Additionally, the patent covers methods and computer-readable media storing instructions for implementing the energy optimization process.
In summary, the patent outlines a system for optimizing energy usage in computing platforms by determining the most suitable edge computing system for processing event requests based on energy efficiency. The system utilizes global and local energy optimization models to identify energy mixes and route requests accordingly. The patent includes detailed claims for functionalities of the computing platform, such as training the optimization models, updating parameters, and incorporating user preferences for energy sources. Overall, the patent aims to enhance energy efficiency in computing operations through a systematic optimization process.
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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.
