Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: The present invention provides a system and a method for managing and deploying one or more applications in a multi-cloud environment. The invention structures an application pipeline for multiple cloud environments and creates a library of objects based on processing of one or more application pipeline historical data. The data models generated based on the historical data enable processing of a received data to execute a task of deploying one or more applications. The invention maps blockchain network-based data elements of one or more applications in a multi-cloud environment.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Abstract: The present invention provides an artificial intelligence-based data processing system and method for enterprise application. The data processing system and method are configured to receive an input data for executing a task at a server, identify and fetch one or more outliers from a data network based on the task to be executed, process the one or more outliers by at least one outlier data model trained on a historical outlier dataset to identify one or more glitches in execution of the task and in response to the recommended action, determine by at least one path identifier data model, at least one path for execution of an action.

Abstract: The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Abstract: The present invention provides a system and a method for managing and deploying one or more applications in a multi-cloud environment. The invention structures an application pipeline for multiple cloud environments and creates a library of objects based on processing of one or more application pipeline historical data. The data models generated based on the historical data enable processing of a received data to execute a task of deploying one or more applications. The invention maps blockchain network-based data elements of one or more applications in a multi-cloud environment.