Robotic Process Automation and Machine Learning: a Systematic Review

• Autor(a) principal: Moraes,Carlos Henrique Valério de
• Data de Publicação: 2022
• Outros Autores: Scolimoski,Josnei, Lambert-Torres,Germano, Santini,Mariana, Dias,André Luiz Alves, Guerra,Fábio Alessandro, Pedretti,André, Ramos,Milton Pires
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Archives of Biology and Technology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100618
• topic: robotic process automation; RPA; machine learning; artificial intelligence; business process.

Abstract The need for companies to seek new techniques that generate productivity gains made them carry out the mapping of their processes using Business Process Management (BPM). Well-mapped processes make it possible to identify repetitive tasks, which can be automated using Robotic Process Automation (RPA), where a computer program mimics the actions of an employee. Furthermore, recent advances in Artificial Intelligence have brought new possibilities to RPA. The systematic review developed aims to raise information on Robotic Process Automation (RPA) integrated with Artificial Intelligence (AI) for autonomously automating work processes.