Painting the Future: Leveraging Generative AI's Power in the Financial Ecosystem

Generative Artificial Intelligence (GenAI) stands out as a transformative force reshaping how institutions operate and innovate. This whitepaper traces the historical evolution of GenAI from conceptual stages to its current significance, highlighting key milestones and applications in the financial sector. Presently, GenAI is integrated into banking, particularly for fraud detection and personalized marketing. The case studies exemplify successful implementations by institutions like J. P Morgan and Microsoft showcasing benefits such as reduced fraud levels and improved customer experiences. The paper delves into the specific use cases across loan processing, portfolio management, asset management, regulatory compliance, and customer service automation. Despite GenAI's potential, the implementation and integration raise challenges related to data privacy, bias, ethical concerns, and technical complexities. The paper stresses the need for governance frameworks and compliance with global standards to tackle challenges. It recommends financial institutions prepare for future advancements by establishing efficient data pipelines, leveraging the cloud, building on existing frameworks, and adopting a human - led, tech - powered approach. It summarizes the critical importance of responsible innovation, urging institutions to embrace GenAI ethically to contribute to a more inclusive and sustainable financial ecosystem.

Authors

Publication Details

Journal
Journal of Global Economy Business and Finance
Published
2024-11-29
DOI
https://doi.org/10.53469/jgebf.2024.06(11).13
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

Painting the Future: Leveraging Generative AI's Power in the Financial Ecosystem

Abdel Hady
Journal of Global Economy Business and Finance
FinTech, Crowdfunding, Digital Finance
article

Painting the Future: Leveraging Generative AI's Power in the Financial Ecosystem

Abdel Hady
article en

Abstract

Generative Artificial Intelligence (GenAI) stands out as a transformative force reshaping how institutions operate and innovate. This whitepaper traces the historical evolution of GenAI from conceptual stages to its current significance, highlighting key milestones and applications in the financial sector. Presently, GenAI is integrated into banking, particularly for fraud detection and personalized marketing. The case studies exemplify successful implementations by institutions like J. P Morgan and Microsoft showcasing benefits such as reduced fraud levels and improved customer experiences. The paper delves into the specific use cases across loan processing, portfolio management, asset management, regulatory compliance, and customer service automation. Despite GenAI's potential, the implementation and integration raise challenges related to data privacy, bias, ethical concerns, and technical complexities. The paper stresses the need for governance frameworks and compliance with global standards to tackle challenges. It recommends financial institutions prepare for future advancements by establishing efficient data pipelines, leveraging the cloud, building on existing frameworks, and adopting a human - led, tech - powered approach. It summarizes the critical importance of responsible innovation, urging institutions to embrace GenAI ethically to contribute to a more inclusive and sustainable financial ecosystem.

Journal of Global Economy Business and FinanceVol. 6(11)
Openalex Percentile: Top 66%
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.