Artificial Intelligence in Finance: Predictive Analytics, Fraud Detection, and Risk Management in 2024

AI is poised to be transformative across virtually all industries, and the financial sector has already experienced major impacts from AI in predictive analytics, fraud detection and risk management among others. This paper also describes the innovation of AI, machine learning and natural language processing (NLP) technologies and their availability in financial services in 2024. Its scope covers richer credit scoring models which harness predictive analytics to assess borrower performance, more sophisticated fraudulent activity detection frameworks that can identify suspicious transactions in real-time, and countless automated trading algorithms which can dynamically adapt to changing market behaviors. Moreover, Algorithms have also deployed in the way financial institutions are evaluating and handling second risk management; AIdriven Risk Management tools have been also there to facilitate decision making process for operational efficiency. We discuss these challenges, and also show how AI will be a crucial part of fundamentally transforming financial analysis from optimizing customer service interactions to stabilizing the economy.

Authors

Institutions

Publication Details

Journal
Formosa Journal of Science and Technology
Published
2025-01-28
DOI
https://doi.org/10.55927/fjst.v4i1.13398
Citations
3
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
6.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Finance: Predictive Analytics, Fraud Detection, and Risk Management in 2024

Nagaraju Arthan, Goutham Kacheru, Rohit Bajjuru
3 citations
Formosa Journal of Science and Technology
Impact of AI and Big Data on Business and Society
6.32
article

Artificial Intelligence in Finance: Predictive Analytics, Fraud Detection, and Risk Management in 2024

Nagaraju Arthan, Goutham Kacheru, Rohit Bajjuru
article en
3 citations

Abstract

AI is poised to be transformative across virtually all industries, and the financial sector has already experienced major impacts from AI in predictive analytics, fraud detection and risk management among others. This paper also describes the innovation of AI, machine learning and natural language processing (NLP) technologies and their availability in financial services in 2024. Its scope covers richer credit scoring models which harness predictive analytics to assess borrower performance, more sophisticated fraudulent activity detection frameworks that can identify suspicious transactions in real-time, and countless automated trading algorithms which can dynamically adapt to changing market behaviors. Moreover, Algorithms have also deployed in the way financial institutions are evaluating and handling second risk management; AIdriven Risk Management tools have been also there to facilitate decision making process for operational efficiency. We discuss these challenges, and also show how AI will be a crucial part of fundamentally transforming financial analysis from optimizing customer service interactions to stabilizing the economy.

Formosa Journal of Science and TechnologyVol. 4(1)
University of the Cumberlands (US), Southern Illinois University Edwardsville (US), Software (Spain) (ES)
Openalex Percentile: Top 5%
Impact of AI and Big Data on Business and Society
6.32
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.