AI and Finance: A Study of Stakeholder Perceptions on Operational and Experiential Evolution

Integrated Journal for Research in Arts and Humanities, Journal Year: 2025, Volume and Issue: 5(1), P. 107 - 114

Published: Jan. 31, 2025

This study explores the transformative impact of artificial intelligence (AI) on financial sector. The paper aims to understand perception about AI-driven technologies in reshaping operations, decision-making, and customer experiences finance arena. uses quantitative methodology. primary data is collected through a structured survey analysed. respondents belong age group 18 60 years. sample consists from153 respondents. secondary for referred from journal books AI Finance. research utilizes descriptive analysis examine perceptions. revealed mixed level familiarity with among student fraternity. discussion underscored that while was perceived offer benefits like enhanced predictive analytics, personalized services, operational efficiency, there would be notable challenges. A significant proportion expressed concern over cybersecurity risks, disruption job markets lack AI-related regulations India. Moreover, shows has yet gain widespread usage indicating both untapped potential need increased public education applications finance. concludes by emphasizing importance ethical frameworks collaborative industry efforts ensure integration consumers strengthens stability.

Language: Английский

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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 58 - 58

Published: Feb. 11, 2025

This study investigates the transformative capacity of artificial intelligence (AI) in improving financial accountability and governance public sector. The aims to explore strategic potential constraints AI integration, especially as fiscal systems become more complex expectations for transparency increase. employs a qualitative case methodology analyze three countries, which are Estonia, Singapore, Finland. These countries renowned their innovative use administration. data collection tools included an extensive review literature, governmental publications, studies, feedback. reveals that AI-driven solutions such predictive analytics, fraud detection systems, automated reporting significantly improve operational efficiency, transparency, decision making. However, challenges algorithmic bias, privacy issues, need strong ethical guidelines still exist, these could hinder equitable AI. emphasizes importance aligning technological progress with democratic values by addressing problems. also enhances dialog around AI’s role It provides practical recommendations policymakers who seek wisely promote trust, ensure governance. Future research should focus on enhancing frameworks investigating scalable overcome social technical integration.

Language: Английский

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Islamic Fintech Research Worldwide: A Bibliometric Analysis

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(1)

Published: May 3, 2024

Islamic Fintech continues to grow as innovation in the field of technology accelerates human life. Although relatively new, research on and has been quite attractive researchers recent years. Seeing this phenomenon, it is necessary anticipate increasing interest academics researching Fintech. This paper aims facilitate finding out development research, find topics that can be developed, know main contributors sources shape analysis a Bibliometric with Biblioshiny VOSviewer software, using metadata consisting 98 Scopus-indexed data published 10 years, namely 2013-2022. The results study found potential for developing theme Finance huge, developed further include "Crowdfunding" "Crowdsourcing.” Meanwhile, Muslim-majority countries dominate including their authors affiliations.

Language: Английский

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Predictive Analytics in Credit Scoring: Integrating XG Boost and Neural Networks for Enhanced Financial Decision Making

Published: July 26, 2024

Language: Английский

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Revolutionize the Financial Services

Advances in finance, accounting, and economics book series, Journal Year: 2024, Volume and Issue: unknown, P. 381 - 402

Published: Dec. 13, 2024

AI is transforming the finance industry. This chapter discusses and its implications, advantages, limitations in finance. We explore Machine Learning (ML) Deep (DL) methods, which are widely used to analyze massive datasets, find patterns, anticipate risk management, portfolio optimization, fraud detection. covers current state of finance, including applications investment banking, asset insurance. AI's benefits include accuracy, efficiency, customer experience. Finance implementation obstacles data quality, regulatory issues, talent recruiting. Future includes Explainable, Edge, Quantum AI. Financial successes chatbots, robo-advisors, predictive analytics. After reading this chapter, readers will comprehend disruptive capacity be ready for possibilities challenges ahead.

Language: Английский

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