Dell products l.p. (20240106766). AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract
Contents
- 1 AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
Kenneth Durazzo of Morgan Hill CA (US)
AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106766 titled 'AUTOMATICALLY PROCESSING USER REQUEST DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Simplified Explanation
The patent application describes methods, apparatus, and processor-readable storage media for automatically processing user request data using artificial intelligence techniques.
- The method involves generating answers to user requests using a chatbot during a communication session with a user.
- Knowledge base-related predictions are generated by processing the user requests using a second set of artificial intelligence techniques associated with a knowledge base.
- Scores are calculated based on qualifying values computed in connection with generating the answers and generating the knowledge base-related predictions.
- Automated actions are performed based on the calculated scores.
Potential Applications
This technology could be applied in customer service chatbots, virtual assistants, and automated help desks.
Problems Solved
This technology streamlines the process of responding to user requests, improves the accuracy of responses, and enhances the overall user experience.
Benefits
The benefits of this technology include increased efficiency, improved customer satisfaction, and the ability to handle a large volume of user requests simultaneously.
Potential Commercial Applications
Potential commercial applications include customer service platforms, e-commerce websites, and online support systems.
Possible Prior Art
Prior art in this field may include existing chatbot technologies, knowledge base systems, and artificial intelligence algorithms used for natural language processing.
Unanswered Questions
How does this technology handle complex user requests that require nuanced responses?
The technology described in the patent application focuses on generating answers and predictions based on user requests, but it is unclear how it handles more complex queries that may not have straightforward solutions.
What measures are in place to ensure the accuracy and reliability of the automated actions performed based on the calculated scores?
While the patent application mentions performing automated actions based on calculated scores, it does not provide details on how the system verifies the correctness of these actions before executing them.
Original Abstract Submitted
methods, apparatus, and processor-readable storage media for automatically processing user request data using artificial intelligence techniques are provided herein. an example computer-implemented method includes generating, using a chatbot during a communication session with a user, answers to user requests by processing the user requests using a first set of artificial intelligence techniques associated with the chatbot; generating knowledge base-related predictions associated with the user requests by processing the user requests using a second set of artificial intelligence techniques associated with a knowledge base; calculating at least one score associated with at least a portion of the answers and the user requests based on qualifying values computed in connection with at least one of generating the answers and generating the knowledge base-related predictions; and performing one or more automated actions based on the at least one calculated score.
