TY - GEN
T1 - Adapting to Artificial Intelligence through workforce re-skilling within the banking sector in South Africa
AU - Mamela, Tebaga Lucky
AU - Sukdeo, Nita
AU - Mukwakungu, Sambil Charles
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - This research paper intends to inspire the banking sector to re-skill the workforce! and present the opportunities in re-skilling the banking Institution's workforces in South Africa to adapt to the roll-out of Artificial Intelligence technologies. The research addresses the factors that contribute to the worker's re-skilling and the skills that are needed for the banking workforce to survive in the competitive labor market of the fourth industrial revolution which may result in the obsolete of many job skills. This research also consider the relevant skills and competencies that will be on-demand by the future banking workforces to enable them to suceessfully adapt to the aspects of the 4IR technological innovations inclusive of the AI toolset such as machine learning, blockchain, nanotechnology, robotics, Internet of Things, biotechnology, cloud computing and so forth, which may ultimately impact the workforce's performance and productivity in the banking institutions. The research uses descriptive statistics and inferential statistics. The research has achieved results based on the assessment of the relationship between workforces' capabilities and the components that make up Artificial Intelligence toolset. The findings show that the adaptation of AI strongly depends on most of the stated skills, therefore banks are required to re-skill their workforces to adapt to AI advanced technologies to make them relevant in the future. Re-skilling the banking workforce to cooperate and collaborate effectively with Artificial Intelligence will enable not only efficiency but futuristic innovation and continuous growth.
AB - This research paper intends to inspire the banking sector to re-skill the workforce! and present the opportunities in re-skilling the banking Institution's workforces in South Africa to adapt to the roll-out of Artificial Intelligence technologies. The research addresses the factors that contribute to the worker's re-skilling and the skills that are needed for the banking workforce to survive in the competitive labor market of the fourth industrial revolution which may result in the obsolete of many job skills. This research also consider the relevant skills and competencies that will be on-demand by the future banking workforces to enable them to suceessfully adapt to the aspects of the 4IR technological innovations inclusive of the AI toolset such as machine learning, blockchain, nanotechnology, robotics, Internet of Things, biotechnology, cloud computing and so forth, which may ultimately impact the workforce's performance and productivity in the banking institutions. The research uses descriptive statistics and inferential statistics. The research has achieved results based on the assessment of the relationship between workforces' capabilities and the components that make up Artificial Intelligence toolset. The findings show that the adaptation of AI strongly depends on most of the stated skills, therefore banks are required to re-skill their workforces to adapt to AI advanced technologies to make them relevant in the future. Re-skilling the banking workforce to cooperate and collaborate effectively with Artificial Intelligence will enable not only efficiency but futuristic innovation and continuous growth.
KW - Artificial intelligence
KW - Banking institution
KW - Machinelearning
KW - Robotics
KW - Workforce
UR - http://www.scopus.com/inward/record.url?scp=85092039072&partnerID=8YFLogxK
U2 - 10.1109/icABCD49160.2020.9183817
DO - 10.1109/icABCD49160.2020.9183817
M3 - Conference contribution
AN - SCOPUS:85092039072
T3 - 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
BT - 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
A2 - Pudaruth, Sameerchand
A2 - Singh, Upasana
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
Y2 - 6 August 2020 through 7 August 2020
ER -