Microsoft had 164 patents in big data during Q4 2023. Microsoft Corp’s Q4 2023 patents focus on optimizing power allocation in datacenters, compressing machine learning models for improved performance, creating virtual presence for non-video participants in communication sessions using headset devices, and enhancing data analytics queries through producer/consumer relationships and optimizations. GlobalData’s report on Microsoft gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Microsoft grant share with big data as a theme is 32% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Allocating power between overhead, backup, and computing power services (Patent ID: US20230418347A1)
The patent filed by Microsoft Corp. describes a power controller system for datacenters that allocates input power between computing power, backup power, and overhead power. The system can reallocate overhead power and backup power to computing power based on computing load and requests for additional capacity, potentially increasing datacenter utilization. The method involves determining power allocations, computing loads, and reallocating power based on computing needs, while the system includes computing systems, input power sources, and a power controller for efficient power management.
The patent claims detail a method for power allocation in computing systems, involving reallocating overhead power to computing power based on computing load and additional capacity requests. The system includes a power controller that can reallocate power to optimize utilization, suspend power to certain systems, and even allocate power to a grid. The method and system aim to enhance datacenter efficiency by dynamically adjusting power allocations based on computing needs and power consumption, ensuring optimal utilization of resources.
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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.
