Abstract: Techniques regarding providing artificial intelligence problem descriptions are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include, at least: a query component that generates key performance indicators from a query, determines a subset of key performance indicators that individually have a performance below a threshold, and maps the subset of key performance indicators to operational metrics; a learning component that generates, using artificial intelligence, problem descriptions from one or more of the subset of key performance indicators or the operational metrics and transmits the problem descriptions to a database.

Abstract: Techniques regarding providing artificial intelligence problem descriptions are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include, at least: a query component that generates key performance indicators from a query, determines a subset of key performance indicators that individually have a performance below a threshold, and maps the subset of key performance indicators to operational metrics; a learning component that generates, using artificial intelligence, problem descriptions from one or more of the subset of key performance indicators or the operational metrics and transmits the problem descriptions to a database.

Abstract: A method includes identifying, by a computing device, activities of a machine using a digital twin of a machine; running, by the computing device, simulations of the activities on the digital twin; determining, by the computing device, a performance issue in the machine using the simulations; and deploying, by the computing device, a capability to address the performance issue.

Abstract: Providing enterprise recommendations includes determining a change of a maturity score of an enterprise architecture assessment domain model associated with an enterprise architecture. The change of the maturity score is indicative of a change of a maturity state of the enterprise architecture assessment domain model. One or more maturity model types that exceed a predetermined degree of change are determined, and at least one assessment capability group for each maturity model type is determined. One or more assessment capabilities are selected for each assessment capability group based on one or more selection criteria. One or more recommendation templates are selected for each selected assessment capability based upon one or more template selection rules. A first set of recommendations are compiled based on the selected recommendation templates, and the first set of recommendations are output.

Abstract: An approach is provided in which an information handling system loads a set of event data corresponding to an information technology (IT) ecosystem into a blockchain framework. The blockchain framework, in turn, generates a set of anomaly data based on the set of event data. The information handling system identifies a set of parameter values to adjust corresponding to the IT ecosystem based on the set of anomaly data, and the information handling system then optimizes the IT ecosystem by adjusting the identified set of parameter values in the IT ecosystem.

Abstract: An approach is provided in which an information handling system collects a set of data corresponding to a new product development from multiple data sources. The set of data includes a set of industry data, a set product data, and a set of market data. Next, the information handling system performs contextual analysis on the set of industry data and generates a set of industry framework mappings that map the set of industry data to the set of product data. Then, the information handling system prioritizes a set of product features in the set of product data based on the set of industry framework mappings, and generates a prospective product solution set that corresponds to the new product development and includes the prioritized set of product features.

Abstract: Providing enterprise recommendations includes determining a change of a maturity score of an enterprise architecture assessment domain model associated with an enterprise architecture. The change of the maturity score is indicative of a change of a maturity state of the enterprise architecture assessment domain model. One or more maturity model types that exceed a predetermined degree of change are determined, and at least one assessment capability group for each maturity model type is determined. One or more assessment capabilities are selected for each assessment capability group based on one or more selection criteria. One or more recommendation templates are selected for each selected assessment capability based upon one or more template selection rules. A first set of recommendations are compiled based on the selected recommendation templates, and the first set of recommendations are output.

Abstract: An approach is provided in which an information handling system loads a set of event data corresponding to an information technology (IT) ecosystem into a blockchain framework. The blockchain framework, in turn, generates a set of anomaly data based on the set of event data. The information handling system identifies a set of parameter values to adjust corresponding to the IT ecosystem based on the set of anomaly data, and the information handling system then optimizes the IT ecosystem by adjusting the identified set of parameter values in the IT ecosystem.

Abstract: Techniques regarding providing artificial intelligence problem descriptions are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include, at least: a query component that generates key performance indicators from a query, determines a subset of key performance indicators that individually have a performance below a threshold, and maps the subset of key performance indicators to operational metrics; a learning component that generates, using artificial intelligence, problem descriptions from one or more of the subset of key performance indicators or the operational metrics and transmits the problem descriptions to a database.

Abstract: A system for measuring performance of an enterprise architecture includes an enterprise collaborative recommender engine that provides recommendations for an account within the enterprise architecture based upon enterprise assessments; a health control process engine that triggers rebuilding of the heat map topology view that provides recommendations for updating the enterprise architecture towards increased maturity in response to recommendations from the enterprise collaborative recommender engine; and an enterprise heat map generator that presents a heat map providing maturity information of the enterprise architecture for each domain.

Abstract: A method, computer system, and a computer program product for customized responses is provided. The present invention may include connecting a user. The present invention may then include developing a system-aware user persona based on the connected user. The present invention may then include engaging in a user interaction. The present invention may lastly include generating a response to the user interaction based on the developed system-aware user persona and user interaction.