A holistic mini -review: Artificial Intelligence and the future of finance

The field of contemporary financial services is changing due to artificial intelligence (AI), which is propelling innovation in anything from asset management to algorithmic procedures. Automated trading, robo-advisory, fraud detection, credit risk assessment, and personalised banking are just a few of the many uses of AI in the financial ecosystem that are examined in this review article. The technologies that allow financial institutions to improve efficiency, accuracy, and customer experience are examined, including machine learning, natural language processing, and predictive analytics. The literature illustrates whether AI is impacting operational processes, strategic decision-making, and regulatory compliance through an analysis of case studies and real-world deployments. Additionally, we examine concerns about model interpretability, ethical usage, and data governance as we delve over the advantages and disadvantages of adopting AI. The review article provides a comprehensive viewpoint on artificial intelligence evolved from theoretical algorithms to useful resources in the finance industry and conclude by evaluating the future direction of AI in finance and highlighting important themes as the emergence of decentralised finance (DeFi), AI-driven ESG investment, and hybrid human-AI collaboration.

Authors

Publication Details

Journal
International Journal of Computing Programming and Database Management
Published
2025-01-01
DOI
https://doi.org/10.33545/27076636.2025.v6.i1a.116
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A holistic mini -review: Artificial Intelligence and the future of finance

Shivani Agarwal, A. H. Rajput
International Journal of Computing Programming and Database Management
FinTech, Crowdfunding, Digital Finance
article

A holistic mini -review: Artificial Intelligence and the future of finance

Shivani Agarwal, A. H. Rajput
article en

Abstract

The field of contemporary financial services is changing due to artificial intelligence (AI), which is propelling innovation in anything from asset management to algorithmic procedures. Automated trading, robo-advisory, fraud detection, credit risk assessment, and personalised banking are just a few of the many uses of AI in the financial ecosystem that are examined in this review article. The technologies that allow financial institutions to improve efficiency, accuracy, and customer experience are examined, including machine learning, natural language processing, and predictive analytics. The literature illustrates whether AI is impacting operational processes, strategic decision-making, and regulatory compliance through an analysis of case studies and real-world deployments. Additionally, we examine concerns about model interpretability, ethical usage, and data governance as we delve over the advantages and disadvantages of adopting AI. The review article provides a comprehensive viewpoint on artificial intelligence evolved from theoretical algorithms to useful resources in the finance industry and conclude by evaluating the future direction of AI in finance and highlighting important themes as the emergence of decentralised finance (DeFi), AI-driven ESG investment, and hybrid human-AI collaboration.

International Journal of Computing Programming and Database ManagementVol. 6(1)
Decent work and economic growth
Openalex Percentile: Top 70%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.