Application of Artificial Intelligence in Banking Value Chain

ABSTRACT : Amid the ongoing advancements associated with the Fourth Industrial Revolution and the intensification of digital transformation, the deployment of artificial intelligence (AI) within the banking sector has become an inevitable trajectory, enabling substantial innovations in financial management and operational processes. AI technologies facilitate the automation of complex workflows, reduce error rates, enhance operational efficiency, and improve customer experience through personalized services and accelerated response mechanisms. Applications span various functions, including customer onboarding, service delivery, product development, marketing, and risk management, thereby optimizing the banking value chain holistically. Moreover, AI’s capabilities in big data analytics and customer behavior prediction equip financial institutions with more robust decision-making tools that mitigate credit risk and fraud incidence. The convergence of AI and blockchain technologies further augments transaction security and transparency, thereby promoting the expansion of digital banking and decentralized finance ecosystems. This study aims to systematically examine the evolving roles and emerging applications of AI throughout the banking value chain, contributing to strategic frameworks oriented toward sustainable development within the digital era.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.16881682
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in Banking Value Chain

Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

Application of Artificial Intelligence in Banking Value Chain

article en

Abstract

ABSTRACT : Amid the ongoing advancements associated with the Fourth Industrial Revolution and the intensification of digital transformation, the deployment of artificial intelligence (AI) within the banking sector has become an inevitable trajectory, enabling substantial innovations in financial management and operational processes. AI technologies facilitate the automation of complex workflows, reduce error rates, enhance operational efficiency, and improve customer experience through personalized services and accelerated response mechanisms. Applications span various functions, including customer onboarding, service delivery, product development, marketing, and risk management, thereby optimizing the banking value chain holistically. Moreover, AI’s capabilities in big data analytics and customer behavior prediction equip financial institutions with more robust decision-making tools that mitigate credit risk and fraud incidence. The convergence of AI and blockchain technologies further augments transaction security and transparency, thereby promoting the expansion of digital banking and decentralized finance ecosystems. This study aims to systematically examine the evolving roles and emerging applications of AI throughout the banking value chain, contributing to strategic frameworks oriented toward sustainable development within the digital era.

Zenodo (CERN European Organization for Nuclear Research)
Thuongmai University (VN)
Openalex Percentile: Top 42%
Financial Distress and Bankruptcy Prediction
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Application of Artificial Intelligence in Banking Value Chain · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS