Leveraging Generative AI to Streamline Account Approval Processes and Improve the Precision of Risk Assessment in Financial Services

The research looks at the way generative AI can change the way financial institutions approve accounts and assess risks. The research examines the issues that financial institutions have in the time of moving to AI-based automation, including the existence of data storage tower and legal requirements. The research looks at the way generative AI models help increase the accuracy of predicting risks by using real-time data analysis. The research looks at leading-edge technologies, including transformer architectures, that make AI better able to handle big workloads. The research makes recommendations for including generative AI in risk assessment systems, with special attention paid to regulations, transparency, and protection of data.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.15606781
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Generative AI to Streamline Account Approval Processes and Improve the Precision of Risk Assessment in Financial Services

Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

Leveraging Generative AI to Streamline Account Approval Processes and Improve the Precision of Risk Assessment in Financial Services

article en

Abstract

The research looks at the way generative AI can change the way financial institutions approve accounts and assess risks. The research examines the issues that financial institutions have in the time of moving to AI-based automation, including the existence of data storage tower and legal requirements. The research looks at the way generative AI models help increase the accuracy of predicting risks by using real-time data analysis. The research looks at leading-edge technologies, including transformer architectures, that make AI better able to handle big workloads. The research makes recommendations for including generative AI in risk assessment systems, with special attention paid to regulations, transparency, and protection of data.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Robotic Process Automation Applications
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Leveraging Generative AI to Streamline Account Approval Processes and Improve the Precision of Risk Assessment in Financial Services · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS