MACHINE LEARNING BASED COMPUTING SYSTEM AND METHOD FOR GENERATING DECISIONS CORRESPONDING TO PROCESSES IN ORGANIZATIONS

Abstract

A machine learning based computing system for generating decisions corresponding to processes in organizations. The ML-based computing system is configured to: receive data associated with experiments, from electronic devices associated with users; analyze first data associated with first experiments, second data associated with second experiments, and third data associated with third experiments; generate second insights associated with second experiments, based on the analyzed second data associated with the second experiments by ML models; generate third insights associated with the third experiments, based on analyzed third data associated with the third experiments by simulation based models; synthesize first insights retrieved from historical data, the second insights generated from the second experiments by the ML models, and the third insights generated from the third experiments by the simulation based models; generate the decisions based on synthesization of first, second insights, and third insights; provide an output of decisions to user interfaces.

CPC Classifications