Siemens had two patents in edtech during Q2 2024. Siemens AG has developed computer-aided systems and methods for training users in negotiations by providing data from real or virtual negotiations to an artificial intelligence for generating reactions and consequences in real time. Additionally, they have created a method for a digital companion that converts human knowledge into computer-readable form, creates a digital twin of a scene, evaluates environmental information to detect errors, and provides guidance to the user based on the detected error. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens had no grants in edtech as a theme in Q2 2024.
Recent Patents
Application: Computer-implemented system for storing and processing data (Patent ID: US20240161644A1)
The patent filed by Siemens AG describes a computer-aided system and method for training users in conducting negotiations. The system involves recording real or virtual negotiations, processing the data using artificial intelligence to generate reactions and consequences, and presenting this information to the user in real-time during negotiations. The system includes components such as recording devices, processors for data retrieval and processing, an output device for displaying information, and a processor for assessing the data and providing feedback to the user.
The system also includes various interfaces for executing data mining, deep learning, natural language processing, and other functions to enhance the negotiation training process. Additionally, the method can be implemented as a game with a points system or avatars and chatbots to make the training more engaging for users. Overall, the system and method aim to provide users with a better understanding of negotiation strategies and outcomes through AI-generated feedback presented during negotiations.
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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.
