Leveraging AI and FinTech: Driving Business Innovation in the Fourth Industrial Revolution

The Fourth Industrial Revolution defines sectors and civilizations by means of digital, biological, and physical breakthroughs taken together to drastically change them. Two primary forces enabling this transformation are artificial intelligence (AI) and financial technology (FinTech). This study analyzes the symbiotic interaction between artificial intelligence and financial technology apart from their shared objective to boost corporate innovation. Blockchain technology and robo-advisors mirror FinTech’s growth from back-end systems to their present level in digital payments. Stressing risk management, customer service, and fraud detection, studies highlight how artificial intelligence may improve financial services. Underdeveloped areas provide social change, financial inclusion, and small business empowerment via means of thorough case studies of M-Pesa, mobile technology, and artificial intelligence. The report also addresses how predictive analytics and artificial intelligence drive wealth management and how blockchain and artificial intelligence affect traditional banking. We handle among ethical issues data privacy, algorithmic bias, and regulatory compliance. Emphasizing the opportunities and implications for businesses facing the Fourth Industrial Revolution, this paper offers a comprehensive overview of the present scene and future potential of artificial intelligence and financial technology.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17189800
Primary Topic
Geochemistry and Elemental Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging AI and FinTech: Driving Business Innovation in the Fourth Industrial Revolution

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Elemental Analysis
article

Leveraging AI and FinTech: Driving Business Innovation in the Fourth Industrial Revolution

article en

Abstract

The Fourth Industrial Revolution defines sectors and civilizations by means of digital, biological, and physical breakthroughs taken together to drastically change them. Two primary forces enabling this transformation are artificial intelligence (AI) and financial technology (FinTech). This study analyzes the symbiotic interaction between artificial intelligence and financial technology apart from their shared objective to boost corporate innovation. Blockchain technology and robo-advisors mirror FinTech’s growth from back-end systems to their present level in digital payments. Stressing risk management, customer service, and fraud detection, studies highlight how artificial intelligence may improve financial services. Underdeveloped areas provide social change, financial inclusion, and small business empowerment via means of thorough case studies of M-Pesa, mobile technology, and artificial intelligence. The report also addresses how predictive analytics and artificial intelligence drive wealth management and how blockchain and artificial intelligence affect traditional banking. We handle among ethical issues data privacy, algorithmic bias, and regulatory compliance. Emphasizing the opportunities and implications for businesses facing the Fourth Industrial Revolution, this paper offers a comprehensive overview of the present scene and future potential of artificial intelligence and financial technology.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 45%
Geochemistry and Elemental Analysis
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.