Microsoft had 31 patents in internet of things during Q1 2024. Microsoft Corp filed patents in Q1 2024 for technologies including privacy transformation for data analytics in edge computing, a head-wearable display device with eye tracking, user-specific adaptive playback speed for meeting recordings, wearable computing device with IMU for pose estimation, and enterprise mobile network radio unit for private wireless connectivity. 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 internet of things as a theme is 41% 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. Techniques for data alteration include reducing image resolution to prevent deep inferences about objects.
The computer-implemented method and system outlined in the patent focus on altering data for privacy protection in a data analytics pipeline. The method involves receiving privacy policy information, identifying personal identifiable information, selecting and applying a technique for data alteration based on policy information and computational resources, and transmitting the altered data to the next server. The system includes a processor and memory storing instructions for executing these operations. The techniques for data alteration include removing, masking, or modifying data characteristics like image resolution or sound pitch. Additionally, the patent addresses scenarios involving video stream data, machine learning model inferences, and the use of non-photorealistic techniques for further privacy protection.
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