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International Business Machines had 64 patents in internet of things during Q1 2024. IBM has filed patents for various innovative technologies in Q1 2024, including integrating uncertainty quantifications into risk-based calendars, generating safety scores for travel parking spots using AI, enhancing user experience of audio-visual content based on emotions, assisting remote education learners through behavior analysis, and generating personalized pricing and promotions for items based on user behavior. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with internet of things as a theme is 56% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Personalized risk and reward criteria for workforce management (Patent ID: US20240104471A1)

The patent filed by IBM Corp. describes a method, computer system, and computer program product for integrating uncertainty quantifications into a long-term risk-based calendar. The invention involves receiving data for an organization, generating a calendar based on this data, presenting it to users, and providing recommendations. The method includes embedding uncertainty quantifications into the calendar based on probabilities of uncertain events at the organization's physical location, receiving feedback, and using prediction algorithms like Random Forest Quantile Regression to provide recommendations tailored to individual users.

The computer system and program product described in the patent also follow the same process of integrating uncertainty quantifications into a long-term risk-based calendar. They involve receiving data, generating the calendar, presenting it to users, and providing recommendations. Additionally, they embed uncertainty quantifications, receive feedback, and utilize prediction algorithms to offer personalized recommendations based on organizational requirements, user preferences, and game rules. The use of Random Forest Quantile Regression is specified as part of the prediction algorithms. Overall, the patent outlines a comprehensive approach to incorporating uncertainty quantifications into risk management calendars for organizations, enhancing decision-making processes and risk mitigation strategies.

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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.