Efficiency and Advancement of Artificial Intelligence in Service Sector with Special Reference to Banking Industry

2021 ◽  
pp. 21-35
Author(s):  
Priya Makhija ◽  
Elizabeth Chacko
Author(s):  
Khusboo Srivastava, Et. al.

Technological advancement has transformed the businesses environment in past few decades and many technologies will emerge that will profoundly influence many industries. This technology revolution is future and controlling the organizations effortlessly for productive development. The paper investigates the various zones where the Artificial Intelligence is being utilized in the Indian banking sector and also its implications. This paper will confer that what are the advantages and the challenges which artificial intelligence is confronting in India. It seeks to explore advancement that artificial intelligence offers to FinTech and the different ways in which it can shape the operations of an Indian banking ecosystem.


2022 ◽  
pp. 74-87
Author(s):  
Sunanda Vincent Jaiwant

AI has begun making its presence felt in every industry and now across the financial services industry as well. This chapter examines and presents the use of AI in banks for better customer service giving them a personalized experience. This chapter explains how banks are getting future-ready for their financial services by means of AI and are delivering financial offerings seamlessly. This research primarily focuses on the concept of AI in the field of banking, how AI has revolutionized personalized banking and made banking operations more efficient and successful. AI innovations are an integral part of Industry 5.0 which aims at integrating automation and human intelligence. This chapter aims to study and describe the current applications of AI in the banking industry and its impact on the banking sector. The study also gives a description of the banks employing AI to facilitate an exceedingly personalized customer journey with the banks.


2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Evica Delova-Jolevska ◽  
Ilija Andovski

Abstract: The aim of this paper is to elaborate the importance of service sector and how its  future development  will affect the banking industry in the Republic of Macedonia. We live in a service society, where services sector represents more than two-thirds of economic activity and four-fifths of growth in recent years in OECD countries. This trend is evident in Macedonia also, where the service sector represents around 60% from the economic activity. Stil, because of the positive correlation with the economic development, further development will result with growth of the service sector. Further liberalization, removing product market barriers still limiting competition in various sub-sectors, allowing more FDI are factors that are indicated by experts that can contribute for further development of the service sector.Regarding banking industry in  Macedonia, service sector has the biggest share in the credit portfolio. Especialy this is due of the high exposure towards trade.Comparative analysis with developed countries shows that the share of exposure towards service sector is greather in Macedonia. This is mainly due of the lower risk of this credit portfolio, whose average riskiness is below the industry sector and agriculture.Also, in deficiency of strong industrial sector who can export its goods, Macedonian banks are turned towards wholesale and retail trade sectors. So it is expected with growth of GDP per capita in future banks to increase the loan portfolio of industry and in the same time to decrease the share of trade sector portfolio in total service portfolio.


2021 ◽  
Vol 9 (3) ◽  
pp. 196-200
Author(s):  
S Dhanalakshmi ◽  
K Komalavalli ◽  
R Hemalatha ◽  
S Kalyani

In the current scenario, the words Artificial Intelligence and Virtual Intelligence are the familiar ones among students of all ages. This study analyzes the usage of virtual intelligence during the  pandemic period. The students of higher education mostly adopted the present way of teaching by using technology. A Positive approach to virtual Intelligence is exhibited in this study. 142 samples were collected by using a convenient sampling method through the well-framed questionnaire for the data analysis.


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