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Conceptualizing Possibilities of Artificial Intelligence in Furtherance of the Banking Sector: An Effective Tool for Improving Customer Relationship, Customer Service and Public Relations

Author

Listed:
  • Roheed Mehmood Qadiri
  • Nairah Shabir
  • Monisa Qadri

Abstract

Purpose: This paper is aimed to define Artificial Intelligence (AI), its related technologies, and its current and future applications in banking sector. It also focusses on how AI and machine learning will be the backbone of banking in the future. It is an important area of study because within the financial services sphere, established institutions are struggling to compete as legacy systems have become outdated, inflexible with reduced efficiency. Design/Methodology/Approach: This is a review paper and explores various trends that could pave way for furtherenace of technological interventions through the use of AI. Findings: Banks are trying to potentially harness the power of AI to streamline the existing processes and introduce new features that will improve the customer experience. A stage has been reached where it is potentially equipped to provide solutions to some of the existing problems in banking. It is being developed into a wide range of technologies, including robotic process automation (RPA), natural language processing (NLP), advanced data analytics, Big Data analytics and image analytics and their use will help banks improve front-office, mid-office and back-office processes. Practical Implications: These approaches will have a landmark impact on the nature of relationship management has with the employees and banks have with their customers. Originality/Value: There is a significant scope for application of various processes based on what has been found. It is an original content with proper references.

Suggested Citation

  • Roheed Mehmood Qadiri & Nairah Shabir & Monisa Qadri, 2020. "Conceptualizing Possibilities of Artificial Intelligence in Furtherance of the Banking Sector: An Effective Tool for Improving Customer Relationship, Customer Service and Public Relations," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 10(2), pages 44-65.
    • Handle: RePEc:ers:ijfirm:v:10:y:2020:i:2:p:44-65
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    References listed on IDEAS

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    1. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
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    More about this item

    Keywords

    Artificial Intelligence and HR management; future banking; ChatBots; loan Management AI; Artificial Super Intelligence (ASI).;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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