Application of AI with Fintech in financial services sector

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F25%3A10260751" target="_blank" >RIV/61989100:27360/25:10260751 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3771792.3773857" target="_blank" >https://dl.acm.org/doi/10.1145/3771792.3773857</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3771792.3773857" target="_blank" >10.1145/3771792.3773857</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of AI with Fintech in financial services sector

Popis výsledku v původním jazyce

Abstract: During past several decades, amazing technology advance in Artificial Intelligence (AI), Big data and Machine Learning have been achieved and witnessed. AI plays a vital role in the digital transformation process of all sectors, especially within the domain of Finance. This paper reviews the application of AI with Fintech in financial services sector, analyzing how AI, Machine Learning, big data analytics and other Fintech techniques are being deployed to improve decision-making such as credit scoring, risk management, portfolio management and market prediction, improve efficiency and reduce costs while enhancing customer experience and engagement at the same time. The paper synthesizes recent advancements in AI&apos;s application along with the evolution of Fintech in the financial sectors, summarizes AI techniques used, explore most common application areas of AI techniques, and discusses potential challenges AI brings to humans. It highlights how AI is reshaping the landscape of financial industry, and what academics, regulators, financial institutions, and Fintech companies need to do to leverage the benefits of AI while addressing the potential risk or problems it brings to the whole society and economy. © 2025 Copyright held by the owner/author(s).

Název v anglickém jazyce

Application of AI with Fintech in financial services sector

Popis výsledku anglicky

Abstract: During past several decades, amazing technology advance in Artificial Intelligence (AI), Big data and Machine Learning have been achieved and witnessed. AI plays a vital role in the digital transformation process of all sectors, especially within the domain of Finance. This paper reviews the application of AI with Fintech in financial services sector, analyzing how AI, Machine Learning, big data analytics and other Fintech techniques are being deployed to improve decision-making such as credit scoring, risk management, portfolio management and market prediction, improve efficiency and reduce costs while enhancing customer experience and engagement at the same time. The paper synthesizes recent advancements in AI&apos;s application along with the evolution of Fintech in the financial sectors, summarizes AI techniques used, explore most common application areas of AI techniques, and discusses potential challenges AI brings to humans. It highlights how AI is reshaping the landscape of financial industry, and what academics, regulators, financial institutions, and Fintech companies need to do to leverage the benefits of AI while addressing the potential risk or problems it brings to the whole society and economy. © 2025 Copyright held by the owner/author(s).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

GAITDI &apos;25: Proceedings of the International Conference on Implementing Generative AI into Telecommunication and Digital Innovation 2025

ISBN

979-8-4007-1492-4

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

231-235

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

Peking

Datum konání akce

18. 7. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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