Banca de QUALIFICAÇÃO: MARIO BARROS MADEIRA FILHO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : MARIO BARROS MADEIRA FILHO
DATE: 20/07/2022
TIME: 18:30
LOCAL: Sala de videoconferência do Google: meet.google.com/owb-snvw-sed
TITLE:

APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF PROGRESSION PROCESSES OF UFRN TECHNICIANS

KEY WORDS:

artificial intelligence; organizational processes; functional progressions; public agent

PAGES: 50
BIG AREA: Ciências Sociais Aplicadas
AREA: Administração
SUBÁREA: Administração de Setores Específicos
SUMMARY:

From the Industrial Revolution to the present day, technological advances have brought several transformations within organizations, with the use of intelligent systems that can facilitate and accelerate the performance of tasks efficiently and effectively. Thus, based on the idea that technological innovations can bring agility to the progression processes of technicians at the Federal University of Rio Grande do Norte (UFRN) with authorization from the Dean of Personnel Management (PROGESP), it is justified the accomplishment of this work for understanding that it is important to study Artificial Intelligence (AI) in this context, and for believing that the presented theme can serve as an incentive for managers, public or private, to invest in intelligent systems. Therefore, the main objective of this work was to analyze the contribution of Artificial Intelligence as an auxiliary tool in the agility and security in the process of progression of administrative technicians, as a way to eliminate or minimize the problems currently faced. This is a case study at UFRN, specifically in the main DPCC and DCEP sectors involved in the processing of this type of process, verifying the flow of the current progression process; and suggesting a new flow with suggestions for improvements. In general terms, it is expected that the progression of administrative technicians at UFRN can have the same effectiveness and reduction of process time as that of professors, since the system for this category has already achieved positive results. It is believed that, with automation with AI in part of this flow, the existing problems in the UFRN technician progression processes will be reduced.

COMMITTEE MEMBERS:
Presidente - 1282620 - HENRIQUE ROCHA DE MEDEIROS
Interno - 1753123 - CARLOS ALEXANDRE CAMARGO DE ABREU
Interno - 347303 - MARCIANO FURUKAVA
Interno - 1378360 - MARCO ANTONIO LEANDRO CABRAL