**Appendix**


**281**

**Author details**

Charmele Ayadurai1

1 Durham University, UK

2 Teesside University, UK

provided the original work is properly cited.

\* and Sina Joneidy2

\*Address all correspondence to: charmele.ayadurai@durham.ac.uk

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1*

*DOI: http://dx.doi.org/10.5772/intechopen.95539*

**Table 1.**

*Taxonomy of opportunities posed by AI on bank soundness.*

*Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1 DOI: http://dx.doi.org/10.5772/intechopen.95539*

*Operations Management - Emerging Trend in the Digital Era*

• Outperforms humans

• Affordability

• Economies of scale and scope

• Increased ROA/Profit margins

• Applies real time in crime prevention

• Validity and reliability of data

• Tracking decisions

• Understand emotions • Personal Advisor 24/7 • Respond in various languages

• Real Time updates • Customer records • Standardise services

• Inclusion

• More trust • Ethical Advise

Sensitivity • Keep up with changes instantly

*Taxonomy of opportunities posed by AI on bank soundness.*

• Derive meaning

• Identify relationships

• Robust predictive models

Liquidity • Sort bank notes

• Opening up new market niches

• Improved customer decision making • AI strict adherence to rules and regulations

• Better advise due to lack of emotion • Improved end user experience

• Pattern detection and interpretation

• Process data beyond statistical methods

• Detect liquidity problems • Optimise cash management

• Big data Earnings • Customer loyalty and retention

• Future decision making • Surpasses cybersecurity • Market surveillance

• Structured and systematic service from start to finish

• Performs various important task with less supervision

• Outsource boring, repetitive, physically exhausting task • Real time, organised, systematic record keeping

• Studies customers behaviours closely to detect crimes

• Product innovation and telemarketing through data mining

Management • Risk Assessment

**280**

**Table 1.**
