ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING

Abstract: The integration of AI into financial management is significant because it shifts the focus from simply increasing efficiency to also improving solutions and efficiency in financial analysis, optimization, and streamlining. This research focuses on the impact of AI on a variety of disciplines, including strategic decision-making, fraud detection, and risk management, while also considering practical applications. Acquiring this knowledge is crucial to maintaining business foresight, providing crucial information to financial managers in an ever-evolving landscape. The need to evolve business models and implement AI-enabled systems to process large volumes of data is becoming more relevant. The financial sector is part of the economic system that will impact the transition to the information age. After conducting the research, it can be deduced that despite the benefits associated with AI and intelligent systems, there is still a degree of opposition to their implementation. This resistance is associated with the dangers of AI, as well as the cultural factors that influence corporate behavior. Furthermore, the perception of how AI affects the sector differs significantly depending on the perspective adopted - by those who will directly interact with these tools - versus a strategic perspective.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-25
DOI
https://doi.org/10.5281/zenodo.15363311
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING

Mário Jorge Campos dos Santos, Elber Ribeiro Gama, Allysson Pereira dos Santos, Letycia Beatriz Silva Oliveira Matos et al.
Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING

Mário Jorge Campos dos Santos, Elber Ribeiro Gama, Allysson Pereira dos Santos, Letycia Beatriz Silva Oliveira Matos, Matheus Brito Meira
article en

Abstract

Abstract: The integration of AI into financial management is significant because it shifts the focus from simply increasing efficiency to also improving solutions and efficiency in financial analysis, optimization, and streamlining. This research focuses on the impact of AI on a variety of disciplines, including strategic decision-making, fraud detection, and risk management, while also considering practical applications. Acquiring this knowledge is crucial to maintaining business foresight, providing crucial information to financial managers in an ever-evolving landscape. The need to evolve business models and implement AI-enabled systems to process large volumes of data is becoming more relevant. The financial sector is part of the economic system that will impact the transition to the information age. After conducting the research, it can be deduced that despite the benefits associated with AI and intelligent systems, there is still a degree of opposition to their implementation. This resistance is associated with the dangers of AI, as well as the cultural factors that influence corporate behavior. Furthermore, the perception of how AI affects the sector differs significantly depending on the perspective adopted - by those who will directly interact with these tools - versus a strategic perspective.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de Sergipe (BR), Prefeitura do Município de São Paulo (BR), Instituto Federal de Educação, Ciência e Tecnologia de Sergipe
Openalex Percentile: Top 69%
Stock Market Forecasting Methods
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ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING — Mário Jorge Campos dos Santos, Elber Ribeiro Gama, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS