20240054430. INTUITIVE AI-POWERED PERSONAL EFFECTIVENESS IN CONNECTED WORKPLACE simplified abstract (Dell Products L.P.)

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INTUITIVE AI-POWERED PERSONAL EFFECTIVENESS IN CONNECTED WORKPLACE

Organization Name

Dell Products L.P.

Inventor(s)

Ajay Maikhuri of Bangalore (IN)

Dhilip Kumar of Bangalore (IN)

Shibi Panikkar of Bangalore (IN)

Rohit Gosain of Bangalore (IN)

INTUITIVE AI-POWERED PERSONAL EFFECTIVENESS IN CONNECTED WORKPLACE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240054430 titled 'INTUITIVE AI-POWERED PERSONAL EFFECTIVENESS IN CONNECTED WORKPLACE

Simplified Explanation

The patent application describes a computer-implemented method for analyzing user interactions with entities using raw data records. The method involves receiving raw data records that include textual, audio, and video interactions. The raw data records are then analyzed to determine sentiments, emotions, and intent. The data is also segmented and interpreted, summarized, and classified to provide recommended actions to assist the user. An output signal containing the recommended actions is generated for the user.

  • The method analyzes raw data records of user interactions with entities.
  • The analysis includes determining sentiments, emotions, and intent.
  • The raw data records are segmented to organize the user data.
  • The information from the analysis is interpreted, summarized, and classified.
  • Recommended actions are determined based on the analysis.
  • An output signal containing the recommended actions is generated for the user.

Potential applications of this technology:

  • Customer service: Analyzing customer interactions to provide personalized recommendations or assistance.
  • Market research: Analyzing user feedback to understand sentiments and preferences.
  • Personalized recommendations: Using user interactions to recommend products, services, or content.

Problems solved by this technology:

  • Efficient analysis: The method automates the analysis of user interactions, saving time and effort.
  • Personalization: By analyzing user interactions, the method can provide personalized recommendations and assistance.
  • Understanding user intent: The analysis helps in understanding the intentions and preferences of users.

Benefits of this technology:

  • Improved user experience: The recommended actions can enhance the user's interaction with entities.
  • Time and cost savings: Automating the analysis process reduces the need for manual analysis.
  • Personalization: The method provides personalized recommendations based on user interactions.


Original Abstract Submitted

a computer-implemented method is provided. raw data records associated with one or more user interactions of a user with one or more entities, each respective raw data record comprising one or more of a textual interaction, an audio interaction, and a video interaction, are received. a first analysis is performed on the set of raw data records to analyze them for at least one of sentiments, emotions, and intent. a second analysis is performed on the set of raw data records to segment the set of raw user data. a third analysis of the raw set of data records performs at least one of interpreting, summarizing and classifying, of the information associated with the first and second analyses to determine, at least one recommended action to assist the user. an output signal, comprising the at least one recommended action is generated to the user based on the third analysis.

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