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November 30, 2024Journal of Student Research0 citationsOpen Access

AI Implementation in Finance; What Business Have to Gain

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JSJUNGHOON SONGJCJoshua Cottam

Key Points

  • AI has proved to be beneficial for financial operations, particularly in fraud prevention and stock market analysis.
  • Institutions that utilize AI report varying degrees of success, with consumer interactions becoming more personalized and efficient.
  • AI requires human supervision to optimize performance, aligning decisions with business objectives and ethical standards.
  • The integration of AI in finance supports automation and scenario planning, providing a competitive edge in the sector.

Abstract

The introduction of artificial intelligence (AI) in various industrial and financial fields has brought both anticipation and concern. Especially, the members of different financial institutions have conflicting thoughts regarding the usage of AI to boost their output. Their concerns are not without merit, but AI has so far proved to be more beneficial than detrimental. This manuscript serves to highlight various portions of the financial sector that are utilizing AI to varying degrees of success. From using AI to identify, analyze and even tentatively automate stock market purchases, to personalizing consumer interaction while at the same time preventing fraud, to even preparing for certain scenarios where the company or bank faces the worst, AI has seeped into the interactions of the financial sector. AI is a tool, and undoubtedly part of the future, so it is best to try to understand how it interacts in the fiscal world. As with all tools, the person who is most experienced with it and is experienced with its usage the most will reap the greatest rewards. While AI proves to be a valuable asset in enhancing financial operations, its optimal performance and reliability are significantly amplified through continuous human supervision. By seeking maximum efficiency, businesses have ensured that AI-driven decisions align with both overarching business objectives and ethical standards.

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Cite This Study

SONG et al. (2024) studied this question.

synapsesocial.com/papers/68af659bad7bf08b1eae56bfhttps://doi.org/10.47611/jsrhs.v13i4.8165
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