ARTIFICIAL INTELLIGENCE-DRIVEN METHOD AND SYSTEM FOR SIMPLIFIED SOFTWARE DEPLOYMENTS

摘要

The present disclosure relates to computer-implemented methods, software, and systems for automated process execution. A neural network including machine learning rules encoded at a rules engine is trained to synthesize input and to generate output for automated execution of processes at a platform landscape of a platform environment. The neural network is configured to convert the received input requesting a process execution into a sequence of executable work units based on the machine learning rules. A first input is received that defines a request in a natural language format. The first input is synthesized based on the machine learning rules at the neural network to generate a first sequence of actions corresponding to the request. The first sequence of actions is generated based on an evaluation of the first input in relation to keywords, parameter names, and parameter values. The generated sequence of actions is provided for automated execution.