Artificial Intelligence in Banking sector: Evidence from Bahrain

2020 ◽  
Author(s):  
Yomna Abdulla ◽  
Rabab Ebrahim ◽  
Sumathi Kumaraswamy
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector

Artificial Intelligence in the Banking Sector: Opportunities and Challenges

2021 ◽  
pp. 81-97
Author(s):  
Galina Semeko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
High Tech ◽  
The World ◽  
The Face

The article deals with the problems of using artificial intelligence technologies in the banking sector in the world in general and in Russia in particular. Characterizes the potential of artificial intelligence technologies and their role in increasing the competitiveness of banks in the face of in Creasing competition from new high-tech financial providers. Presentes an analysis of the factors hampering the introduction of artificial intelligence technologies in banks.

Artificial intelligence (AI) applications in Islamic finance and banking sector

2021 ◽  
pp. 108-121
Author(s):  
Adel Sarea ◽  
Mustafa Raza Rabbani ◽  
Md. Shabbir Alam ◽  
Mohammad Atif
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
Islamic Finance

Artificial Intelligence and Personalized Banking

2022 ◽  
pp. 74-87
Author(s):  
Sunanda Vincent Jaiwant
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Financial Services ◽  
Banking Sector ◽  
Banking Industry ◽  
Human Intelligence ◽  
Financial Services Industry ◽  
Customer Journey ◽  
Services Industry ◽  
Applications Of Ai

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.

scholarly journals DIGITALIZATION AND ARTIFICIAL INTELLIGENCE IN BANKS: A STEP INTO THE FUTURE

2021 ◽  
Vol 6 (1(29)) ◽  
pp. 6-9
Author(s):  
Georgy Maksimovich Babukin
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
Payment System ◽  
The Future

The author of the article emphasizes the importance of using digitalization and artificial intelligence in banks. The transition to such a model in a particular area will be a serious driver of growth for them and a catalyst for the use of AI technologies. Innovations in the field of digitalization of the banking sector are considered. The plan for the development of the digital ruble project was studied. The introduction of the fast payment system (SPB) is considered. The application of artificial intelligence in the banking sector is studied. The forecast of revenues of the artificial intelligence market is made.

Role of artificial intelligence and enterprise risk management to promote corporate entrepreneurship and business performance: evidence from korean banking sector

2020 ◽  
Vol 39 (4) ◽  
pp. 5369-5386
Author(s):  
Hoyoung Lee
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Risk Management ◽  
Business Performance ◽  
Management Practices ◽  
Banking Sector ◽  
Corporate Entrepreneurship ◽  
Partial Least Square ◽  
Equation Modeling ◽  
System Risk

Korean banking industry has achieved significant growth in financial market, however, these banks are lacking with entrepreneurship activities due to low information system risk management. Objective of this study is to examine the effect of artificial intelligence, information system risk management and corporate entrepreneurship on business performance of Korean banks. The current study introduced artificial intelligence as one of the elements to boost risk management activities, corporate entrepreneurship and business performance. This objective was achieved through a research survey among Korean banks. Questionnaires were distributed among the employees of banks by using simple random sampling. Partial Least Square (PLS)-Structural Equation Modeling (SEM) was used for data analysis. Results of the study revealed that artificial intelligence has key role to influence information system risk management. It has positive role to enhance information system risk management practices. Information system risk management practices has vital importance to promote corporate entrepreneurship which increases the business performance of banks. This study is important for Korean banks to make various strategies for risk management, corporate entrepreneurship and business performance.

scholarly journals Artificial Intelligence in the Fight Against COVID-19 in the Banking Sector

2020 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
High Risk ◽  
Health Care System ◽  
Banking Sector ◽  
Health Care Systems ◽  
Use Cases ◽  
Care Systems ◽  
Human Thinking

The COVID-19 pandemic has been causing a massive strain in different sectors around the globe, especially in the health care systems in many countries. Artificial Intelligence has found its way in the health care system in helping to find a cure or vaccine by screening out medicines that could be promising for cure. Not only that but by containing the virus and predicting highly effected areas and limiting the spread of the virus. Many use cases based on AI was successful to monitor the spread and lock areas that were predicted by AI algorithms to be at high risk. Broadly speaking, AI involves ‘the ability of machines to emulate human thinking, reasoning and decision - making.

scholarly journals Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review

TEM Journal ◽  
2021 ◽  
pp. 1581-1587
Author(s):  
Ahmad Ghandour
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Business Strategy ◽  
Banking Sector ◽  
Banking Industry ◽  
Empirical Studies ◽  
Quality Data ◽  
Secondary Sources ◽  
Strategy Alignment

The primary aim of this systematic literature review (SLR) was to identify, assess and synthesize the extant evidence about the opportunities and challenges concerning the use of Artificial Intelligence (AI) in the banking sector. From the SLR, it is evident that AI has several opportunities for the sector. There are many fin-tech start-ups that offer banking AI solutions, and banking regulators are fostering AI adoption through legislation and collaboration. Other opportunities include the following: personalized services, smart wallets, decision-making and problem-solving, customer satisfaction and loyalty, process automation (especially targeting repetitive tasks), transactional security and cybersecurity improvements, and promotion of digital financial inclusion. Nevertheless, the key banking industry stakeholders have to formulate appropriate strategies aimed at overcoming existing and prospect AI challenges. Among the AI challenges that should be prioritized we include the following: job loss and user acceptance concerns, privacy breaches, creativity and adaptability loss, restrictive implementation and operational requirements, digital divide, availability of vast quality data, AI-business strategy alignment, and loss of emotional “human touch”. However, existing studies are largely descriptive and based on secondary sources of data. This necessitates empirical studies to expand the existing body of knowledge regarding AI opportunities and challenges in the banking industry.

scholarly journals The effect of implementing artificial intelligence on job performance in commercial banks of Jordan

2021 ◽  
pp. 2061-2070
Author(s):  
Abdallah Abusalma
Keyword(s):  
Artificial Intelligence ◽  
Job Performance ◽  
Random Sample ◽  
Commercial Banks ◽  
Banking Sector ◽  
Future Research ◽  
Years Of Experience ◽  
Academic Qualification ◽  
Descriptive Approach

This study aimed to clarify the effect of artificial intelligence with its variables (ES, NN, GA, and IA) on job performance. The banking sector in Jordan is used as a study community and targeted managers at all levels, and in order to achieve the objectives of the study, a questionnaire is developed for the purpose of collecting data from the random sample. The sample consisted of (319) managers. Also, the study used the descriptive approach and the data are analyzed on SPSS. The results showed that there is a statistically significant effect of artificial intelligence that affects job performance through (GA, and IA) only. In addition, the results showed that gender, academic qualification and years of experience have a statistically significant effect on job performance in commercial banks in Jordan. The study recommends preparing future research for the same variables and the study community, but for another country, in order to generalize the results.

scholarly journals A framework for integration of artificial intelligence into digital marketing in Jordanian commercial banks.

2020 ◽  
Vol 1 (1) ◽  
pp. 32-39
Author(s):  
Khaled Aladayleh
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
Theoretical Background ◽  
Digital Marketing ◽  
Data Modelling ◽  
Human Communication ◽  
Ethical Implications ◽  
Global And Local ◽  
The Relationship ◽  
Gathering Data

This paper investigates the relationship between artificial intelligence (AI), and digital marketing in the Jordanian banking sector. It outlines the main implications of information gathering, data modelling, and processing & delivery, as well, the importance of human communication and ethical implications. Banks need a coherent foundation when employing AI. This paper provides a theoretical background for AI developers, policymakers and marketers in the banking sector, and academics. Despite the extensive employment of artificial intelligence in numerous global and local businesses, few studies addressed the use of AI in the Jordanian banking sector. As well, AI has rapidly changed digital marketing practices, particularly in the light of the Coronavirus (COVID_19) pandemic. Banks in Jordan are oblivious to the challenges they face when integrating AI into their digital marketing services. This paper derives a general framework for integrating AI techniques into digital marketing practices in Jordanian banks. Recommendations designed to assist banks in targeting their clients more efficiently also presented in this paper.  

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