17548768. TICKET EMBEDDING BASED ON MULTI-DIMENSIONAL IT DATA simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
TICKET EMBEDDING BASED ON MULTI-DIMENSIONAL IT DATA
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
TICKET EMBEDDING BASED ON MULTI-DIMENSIONAL IT DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 17548768 titled 'TICKET EMBEDDING BASED ON MULTI-DIMENSIONAL IT DATA
Simplified Explanation
The patent application describes an approach to train an artificial intelligence system, specifically a neural network, to process IT ticket data. The system receives IT tickets from different sources and computes ticket vectors for each ticket. It then performs an analysis using these ticket vectors and a node vector that represents a network topology. This analysis is done using a corpus of IT ticket data. Based on this analysis, the AI system is trained with an IT ticket model. The trained model is used to provide responses to requestors of the AI system.
- Trains an AI system to process IT ticket data
- Receives IT tickets from various sources
- Computes ticket vectors for each ticket
- Performs analysis using ticket vectors and a node vector representing network topology
- Analysis is done using a corpus of IT ticket data
- Trains an IT ticket model for the AI system based on the analysis
- Provides responses to requestors using the trained IT ticket model
Potential Applications
This technology can be applied in various industries and organizations that deal with IT ticketing systems, such as:
- IT support companies
- Helpdesk services
- Software development companies
- Network management companies
Problems Solved
The approach addresses the following problems in IT ticket processing:
- Manual processing of IT tickets is time-consuming and inefficient
- Inconsistent responses to IT ticket requests
- Difficulty in analyzing large volumes of IT ticket data
- Lack of automated systems to handle IT ticket processing
Benefits
The use of this technology offers several benefits:
- Improved efficiency and speed in processing IT tickets
- Consistent and accurate responses to IT ticket requests
- Ability to analyze large volumes of IT ticket data effectively
- Automation of IT ticket processing, reducing manual effort and human error.
Original Abstract Submitted
An approach is provided that trains an artificial intelligence (AI) system, such as a neural network, to process IT ticket data. The approach receives IT tickets from various ticket sources. Ticket vectors corresponding to each of the IT tickets are computed. An analysis is performed using the ticket vectors and a node vector that corresponds to a network topology. The analysis is performed using a corpus of IT ticket data. An IT ticket model used by the AI system is trained based on the analysis. Responses are provided to requestors of the AI system using the trained IT ticket model.
