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Digital Banking and the Evolution of Financial Services

Abstract

Abstract Digital innovation has fundamentally changed the financial services industry Over the past 20 years. This study examines how advances in technology, such as big data analytics, blockchain, artificial intelligence, and mobile banking, are revolutionizing banking and customer experiences. Financial institutions are increasingly moving from traditional branch systems to digital platforms that offer improved efficiency, accessibility, and personalization. This study is characterized by research by Gomber et al. (2018), Chen et al. (2021), and others pursuing how innovations such as open banking, embedded funding, and new service models are redefined. Cybersecurity threats, regulatory hurdles, and the need for integrated digital access remain ongoing issues, as discovered by Ozili (2018) and McKinsey and Company (2019). The results of this study show that AI is important for personalized banking. 68% of the institutions invest in AI-controlled customer interfaces. Mobile banking continues to lead digital referrals, but blockchain can be used for cross-border transactions with incredible cost savings. However, the success of this digital layer depends on compensation for innovation through robust regulatory compliance, data security, and long-term customer trust. His future lies in appropriate technical skills for adaptive integration with human needs. Further developments, banks focusing on ethical, integrated, and secure digital solutions, will be best positioned to thrive in a developing financial environment.

Keywords

Banking, Mobile Banking, Block chain, Finance, Digital, Cybersecurity, AI

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green