Microsoft had 12 patents in edge computing during Q1 2024. Microsoft Corp’s Q1 2024 patents focus on privacy transformation in data analytics at the edge, reusing and retraining image recognition models for video analytics, real-time event data reporting in edge devices, and virtual radio access networks (vRANs) for offloading signal processing tasks to remote locations without compromising quality of service. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft grant share with edge computing as a theme is 58% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Privacy transformations in data analytics (Patent ID: US20240104248A1)
The patent filed by Microsoft Corp. describes systems and methods for privacy transformation of data in data analytics under a multi-access edge computing environment. The process involves receiving privacy instructions, identifying personally identifiable information in data from IoT devices, selecting a technique for data transformation based on privacy policy information and computational resources, and altering the data to protect privacy before transmitting it to the next server in the data analytics pipeline. The techniques for data transformation include reducing image resolution to prevent deep inferences about objects.
The computer-implemented method and system outlined in the patent focus on altering data captured by sensing devices to increase data privacy in a data analytics pipeline. The method involves selecting and applying techniques such as removing, masking, or modifying data based on privacy policy information and computational resources available in the servers. The system includes a processor and memory storing instructions for executing operations related to data privacy protection. Additionally, the patent addresses scenarios involving video stream data, machine learning models for recognizing objects, and the use of non-photorealistic techniques to further enhance privacy protection in data analytics pipelines under different server environments within a multi-access edge computing hierarchy.
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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.
