Document Type

Thesis

Comments

This thesis was created to understand how artificial intelligence (AI) is transforming the finance industry and how institutions are utilzing and will utilize AI. This thesis was created for the benefit of financial professionals, researchers, and institutions seeking to understand and leverage AI to enhance efficiency, accuracy, and innovation in financial operations.

First Faculty Advisor

Jeffrey Koplik

Second Faculty Advisor

Huan Kuang

Keywords

artificial intelligence; finance; banking; insurance; expectations

Publisher

Bryant University

Rights Management

CC-BY-NC-ND; CC-BY; CC-BY-SA; CC-BY-ND; CC-BY-NC-SA; CC-BY-NC

Abstract

Artificial intelligence (AI) is rapidly emerging as one of the most transformative technologies globally. Much of the consumer and unremitting media sentiment surrounding AI often overreacts, either overestimating or fearing its looming impacts. Herein, we examine how in the financial sector, AI builds upon a long history of computer-assisted automation to increasingly become, or soon to become, integrated to enhance various operational processes such as: data security, risk management, fraud detection, loan adjudication, insurance underwriting and customer interactions. This paper examines not only what impacts AI in the finance sector are anticipated by students, professors and professionals, but also whether AI is set to revolutionize financial services, including insurance underwriting, through machine learning, personalizing experiences with AI-directed communications, and predictive modeling that improves decision-making.

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