International business machines corporation (20240346306). AUTOMATED GENERATION OF TRAINING DATA FOR AN ARTIFICIAL-INTELLIGENCE BASED INCIDENT RESOLUTION SYSTEM simplified abstract

AUTOMATED GENERATION OF TRAINING DATA FOR AN ARTIFICIAL-INTELLIGENCE BASED INCIDENT RESOLUTION SYSTEM

Organization Name

international business machines corporation

Inventor(s)

Shirley M. Han of New York NY (US)

Rama Kalyani T. Akkiraju of Cupertino CA (US)

Xiaotong Liu of San Jose CA (US)

Salil Ahuja of Washington DC (US)

Isabell Sippli of Metzingen (DE)

AUTOMATED GENERATION OF TRAINING DATA FOR AN ARTIFICIAL-INTELLIGENCE BASED INCIDENT RESOLUTION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346306 titled 'AUTOMATED GENERATION OF TRAINING DATA FOR AN ARTIFICIAL-INTELLIGENCE BASED INCIDENT RESOLUTION SYSTEM

The abstract of the patent application describes a system that detects incident data and resolution data in monitored data from an IT environment. It correlates this data based on changes in health metrics and uses it to train a machine learning model to provide resolution recommendations.

• Incident data and resolution data are detected and correlated based on changes in health metrics data.
• The correlated data is stored as a training dataset in a database.
• A machine learning model is trained using the training dataset.
• The trained model is deployed to provide resolution recommendations in response to new incident data.

Potential Applications: - IT incident management systems - Automated resolution recommendation systems - Machine learning in IT operations

Problems Solved: - Efficient incident resolution in IT environments - Automation of incident management processes

Benefits: - Faster resolution of IT incidents - Improved efficiency in incident management - Reduction in downtime and operational costs

Commercial Applications: Automated incident resolution systems for IT service providers, data centers, and large enterprises.

Questions about the technology: 1. How does the system determine the correlation between incident data and resolution data? 2. What types of incidents can the machine learning model effectively provide resolution recommendations for?

Frequently Updated Research: Stay updated on advancements in machine learning algorithms for incident resolution in IT environments.

Original Abstract Submitted

an embodiment includes detecting incident data and resolution data in monitored data collected while monitoring an information technology (it) environment. the embodiment correlates the incident data with the resolution data according to a detected change in health metrics data from the monitored data. the embodiment stores the correlated incident data and resolution data as a training dataset stored in a database and then trains a machine learning model using the training dataset. the embodiment deploys the trained machine learning model such that the trained machine learning model provides resolution recommendation in response to receiving new incident data.