Intelligent self-service delivery advisor
The present invention provides a method, system, and computer program product of an intelligent self-service delivery advisor. In an embodiment, the present invention includes, in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories, identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category, selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data, generating, by the second computer system, one or more suggestions based on the catalog and the one or more computer system service tasks; and displaying, displaying by the second computer system, the one or more suggestion on a display logically coupled to the computer system.
1. A method comprising:
in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories;
identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category;
generating, by the second computer system, one or more suggestions based on the one or more computer system service tasks;
displaying, by the second computer system, the one or more suggestions on a display logically coupled to the computer system;
accessing, by the second computer system, a skill level of a user with respect to at least one computer system service category among the plurality of computer system service categories and the one or more computer system service tasks; and
modifying, by the second computer system, an amount of detail given in the one or more suggestions, based on the skill level.
2. The method of claim 1 , further comprising:
receiving a task selection; and
generating, by the second computer system in response to the receiving, execution content.
3. The method of claim 1 , further comprising based on one or more previous selections by the user, personalizing, by the second computer system, the one or more suggestions via machine learning.
4. The method of claim 1 , further comprising:
in response to the displaying, identifying, by the second computer system, missing parameters with respect to the computer system service data;
selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data; and
querying, of a user, one or more of the missing parameters of the received computer system service data in light of the catalog.
5. The method of claim 4 , further comprising:
receiving the one or more missing parameters; and
generating, by the second computer system in response to the receiving, one or more modified suggestions.
6. The method of claim 4 , further comprising receiving the one or more missing parameters, wherein the selecting is in response to the receiving.
7. A system comprising:
a memory; and
a processor in communication with the memory, the processor configured to perform a method comprising:
in response to receiving computer system service data, identifying a computer system service category among a plurality of computer system categories;
identifying one or more computer system service tasks, based on the computer system service data and the computer system service category;
generating one or more suggestions based on the one or more computer system service tasks;
displaying the one or more suggestions on a display logically coupled to the computer system;
accessing a skill level of a user with respect to at least one computer system service category among the plurality of computer system service categories and the one or more computer system service tasks; and
modify an amount of detail given in the one or more suggestions, based on the skill level.
8. The system of claim 7 , wherein the method the processor is configured to perform further comprises, in response to receiving a task selection, generating execution content.
9. The system of claim 7 , wherein the method the processor is configured to perform further comprises, based on one or more previous selections by the user, personalizing the one or more suggestions via machine learning.
10. The system of claim 7 , wherein the method the processor is configured to perform further comprises:
in response to the displaying, identifying missing parameters with respect to the computer system service data;
selecting a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data; and
querying, of a user, one or more of the missing parameters of the received computer system service data in light of the catalog.
11. The system of claim 10 , wherein the method the processor is configured to perform further comprises, in response to receiving the one or more missing parameters, generating one or more modified suggestions.
12. The system of claim 10 , wherein the method the processor is configured to perform further comprises, in response to receiving the one or more missing parameters, selecting a catalog among the plurality of catalogs.
13. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:
in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories;
identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category;
generating, by the second computer system, one or more suggestions based on the one or more computer system service tasks;
displaying, by the second computer system, the one or more suggestions on a display logically coupled to the computer system;
accessing, by the second computer system, a skill level of a user with respect to at least one computer system service category among the plurality of computer system service categories and the one or more computer system service tasks; and
modifying, by the second computer system, an amount of detail given in the one or more suggestions, based on the skill level.
14. The computer program product of claim 13 , wherein the method the performed by the processor further comprises, in response to receiving a task selection, generating, by the second computer system, execution content.
15. The computer program product of claim 13 , wherein the method the performed by the processor further comprises, based on one or more previous selections by the user, personalizing, by the second computer system, the one or more suggestions via machine learning.
16. The computer program product of claim 13 , wherein the method the performed by the processor further comprises:
in response to the displaying, identifying, by the second computer system, missing parameters with respect to the computer system service data;
selecting a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data; and
querying, of a user, one or more of the missing parameters of the received computer system service data in light of the catalog.
17. The computer program product of claim 16 , wherein the method the performed by the processor further comprises, in response to receiving the one or more missing parameters, generating, by the second computer system, one or more modified suggestions.