Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: Various embodiments are provided for intelligent application of operational rules to operational data in a computing environment by a processor. One or more operational rules may be extracted and formalized from a knowledge graph, a domain knowledge, or a combination thereof describing one or more operational policies and conditions. The one or more operational rules may be applied to operational data to identify and filter non-compliant operational data.

Abstract: Techniques facilitating assessment result determination based on predictive analytics and/or machine learning are provided. In one example, a computer-implemented method can comprise matching, by a system operatively coupled to a processor, input data retained in a knowledge source database to an inquiry included in a received questionnaire. The input data can be associated with a target entity. The computer-implemented method can also comprise generating, by the system, a response to the inquiry based on the input data retained in the knowledge source database and a feature value that specifies a defined form of the response. The response can be based on an applicability of the input data to the target entity. Further, generating the response can be based on machine learning applied to information retained in the knowledge source database.

Abstract: Techniques facilitating assessment result determination based on predictive analytics and/or machine learning are provided. In one example, a computer-implemented method can comprise matching, by a system operatively coupled to a processor, input data retained in a knowledge source database to an inquiry included in a received questionnaire. The input data can be associated with a target entity. The computer-implemented method can also comprise generating, by the system, a response to the inquiry based on the input data retained in the knowledge source database and a feature value that specifies a defined form of the response. The response can be based on an applicability of the input data to the target entity. Further, generating the response can be based on machine learning applied to information retained in the knowledge source database.