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ZENODO
Article . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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AI-Driven Payment Automation: Transforming the Future of Financial Transactions

Authors: Venkat Kalyan Uppala;

AI-Driven Payment Automation: Transforming the Future of Financial Transactions

Abstract

The advent of artificial intelligence (AI) has ushered in significant transformations across various sectors, with the financial industry being one of the most impacted. Among the numerous innovations, AI-driven payment automation stands out for its potential to revolutionize financial transactions by enhancing speed, efficiency, and security. This paper explores the impact of AI on payment automation, examining how AI technologies such as machine learning, natural language processing, and robotic process automation are redefining the landscape of financial transactions. By analyzing references published before 2020, this study highlights the benefits of AI-driven payment systems, including improved transaction accuracy, reduced processing times, and enhanced fraud detection. The paper also discusses the challenges associated with AI adoption such as data privacy concerns and the need for regulatory oversight. Ultimately, the integration of AI in payment automation is positioned as a key driver in the future of financial transactions, offering unprecedented opportunities for innovation and growth.

Keywords

payment automation, AI-driven payment, artificial intelligence (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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    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