Abstract: A virtual agent can implement a “chatbot” to provide output based on predictive/prescriptive models for incidents. The virtual agent can integrate with natural language processor for text analysis and summary report generation. The virtual agent can integrate with cognitive search to enable processing of search requests and retrieval of search results. The virtual agent uses computing processes with self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. The virtual agent provides an automated IT system that is capable of resolving incidents without requiring human assistance. The virtual agent can display condensed summaries of a large amount of data and can link the summaries to predictive models and operational risk models to identify risk events and provide summaries of those events.

Abstract: Embodiments described herein relation to IT incident management that can involve predictive analytics, prescriptive analytics, and descriptive analytics. An IT incident management platform can enable IT incident solution prediction using prescriptive models and natural language processing. An IT incident management platform can enable IT incident ticket volume prediction using predictive models and natural language processing. An IT incident management platform can generate visual elements for display at an interactive interface that represents data centre topology network graphs using descriptive models.

Abstract: Embodiments described herein relation to IT incident management that can involve predictive analytics, prescriptive analytics, and descriptive analytics. An IT incident management platform can enable IT incident solution prediction using prescriptive models and natural language processing. An IT incident management platform can enable IT incident ticket volume prediction using predictive models and natural language processing. An IT incident management platform can generate visual elements for display at an interactive interface that represents data centre topology network graphs using descriptive models.

Abstract: A virtual agent can implement a “chatbot” to provide output based on predictive/prescriptive models for incidents. The virtual agent can integrate with natural language processor for text analysis and summary report generation. The virtual agent can integrate with cognitive search to enable processing of search requests and retrieval of search results. The virtual agent uses computing processes with self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. The virtual agent provides an automated IT system that is capable of resolving incidents without requiring human assistance. The virtual agent can display condensed summaries of a large amount of data and can link the summaries to predictive models and operational risk models to identify risk events and provide summaries of those events.