COGNITIVE IT EVENT HANDLER

1 . A method of handling events gathered from an information technology (IT) infrastructure, comprising:

receiving an event in the form of a human readable message;

using a discovery service that includes a machine learning model to process the event relative to a knowledgebase of previously captured events;

identifying a set of matching events and associated solutions;

in response to identifying a matching event that has a solution confidence greater than a predetermined threshold, automatically applying the solution to obtain a resolution; and

updating the machine learning model based on the resolution.

2 . The method of claim 1 , wherein the event is obtained from an event scanner that probes the IT infrastructure.

3 . The method of claim 1 , wherein the event is obtained from natural language inputs of an end user.

4 . The method of claim 1 , further comprising notifying an administrator of the event when there are no matching events or there are no matching events having a solution confidence greater than the predetermined threshold.

5 . The method of claim 4 , further comprising capturing a natural language chat utilized between the administrator and a user in probing for a solution.

6 . The method of claim 1 , further comprising:

storing the event in the knowledge data base along with the solution in a human readable format; and

updating the solution confidence based on the resolution.

7 . The method of claim 1 , wherein the discovery system utilizes a learning to rank algorithm for ordering matching events.

8 . A computing system having a cognitive agent for handling events gathered from an information technology (IT) infrastructure, comprising:

an event analyzer module for receiving an event;

a solution availability module that interfaces with a machine learning system to process the event relative to a knowledgebase of previously captured events and to identify a set of matching events and associated solutions;

an automated solution module that automatically applies the solution to obtain a resolution in response to identifying a matching event that has a solution confidence greater than a predetermined threshold;

an administrative solution module that notifies an administrator of the event when there are no matching events or there are no matching events having a solution confidence greater than the predetermined threshold; and

a feedback module for updating a machine learning model based on the resolution.

9 . The computing system of claim 8 , wherein the event is obtained from an event scanner that probes the IT infrastructure.

10 . The computing system of claim 8 , wherein the event is obtained from natural language inputs of an end user.

11 . The computing system of claim 8 , further comprising capturing a natural language chat utilized between the administrator and a user in probing for a solution.

12 . The computing system of claim 11 , wherein the natural language chat is stored in the knowledge base.

13 . The computing system of claim 8 , wherein the feedback module stores the event in the knowledge data base along with the solution in a human readable format, and updates the solution confidence based on the resolution.

14 . The computing system of claim 8 , wherein the machine learning system utilizes an intelligent sorting algorithm for ordering matching events.

15 . A computer program product stored on a computer readable storage medium, which when executed by a computing system, provides handling events gathered from an information technology (IT) infrastructure, the program product comprising:

program code for receiving an event in the form of a human readable message;

program code for interfacing with a machine learning system to process the event relative to a knowledgebase of previously captured events;

program code for capturing a set of matching events and associated solutions from the machine learning system;

program code for automatically applying the solution to obtain a resolution in response to identifying a matching event that has a solution confidence greater than a predetermined threshold; and

program code for providing event resolution information to the machine learning system to update an associated machine learning model.

16 . The program product of claim 15 , wherein the event is obtained from an event scanner that probes the IT infrastructure.

17 . The program product of claim 15 , wherein the event is obtained from natural language inputs of an end user.

18 . The program product of claim 15 , further comprising notifying an administrator of the event when there are no matching events or there are no matching events having a solution confidence greater than the predetermined threshold.

19 . The program product of claim 18 , further comprising program code for capturing a natural language chat utilized between the administrator and a user in probing for a solution.

20 . The program product of claim 15 , further comprising program code for outputting event information in the knowledge database for updating the solution confidence based on the resolution.