The Role of Artificial Intelligence in Strategic Business Decision Making

Artificial Intelligence (AI) is transforming investment decision-making in financial institutions by leveraging machinelearning, natural language processing, and predictive analytics. These technologies enable rapid processing of vastdatasets, accurate market forecasting, and tailored investment strategies, leading to enhanced returns and operationalefficiencies. AI-driven tools analyze market data, sentiment, and alternative sources to uncover insights, optimizeportfolios, and improve risk management, offering a competitive edge in volatile markets. However, challenges such asalgorithmic biases, which can perpetuate unfair outcomes, cybersecurity vulnerabilities that threaten sensitive data,and regulatory complexities due to opaque AI models require robust oversight. This paper explores AI’s opportunities,including cost reduction and personalized services, alongside risks like over-reliance on automation and ethicalconcerns. Through case studies on hedge funds, robo-advisors, and high-frequency trading, we assess AI’s impact,emphasizing the need for human-AI collaboration to ensure ethical decision-making. We also examine future trends,such as sustainable investing and quantum computing, which promise to further reshape finance. Data analysishighlights AI’s potential and pitfalls, providing recommendations for responsible adoption, including transparency,staff training, and regulatory engagement, to balance innovation with accountability.

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Publication Details

Journal
Journal of Scientific Research and Technology
Published
2025-05-06
DOI
https://doi.org/10.61808/jsrt203
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Strategic Business Decision Making

Pawan Kumar Arora, Joydeep Das
1 citations
Journal of Scientific Research and Technology
Big Data and Business Intelligence
article

The Role of Artificial Intelligence in Strategic Business Decision Making

Pawan Kumar Arora, Joydeep Das
article en
1 citations

Abstract

Artificial Intelligence (AI) is transforming investment decision-making in financial institutions by leveraging machinelearning, natural language processing, and predictive analytics. These technologies enable rapid processing of vastdatasets, accurate market forecasting, and tailored investment strategies, leading to enhanced returns and operationalefficiencies. AI-driven tools analyze market data, sentiment, and alternative sources to uncover insights, optimizeportfolios, and improve risk management, offering a competitive edge in volatile markets. However, challenges such asalgorithmic biases, which can perpetuate unfair outcomes, cybersecurity vulnerabilities that threaten sensitive data,and regulatory complexities due to opaque AI models require robust oversight. This paper explores AI’s opportunities,including cost reduction and personalized services, alongside risks like over-reliance on automation and ethicalconcerns. Through case studies on hedge funds, robo-advisors, and high-frequency trading, we assess AI’s impact,emphasizing the need for human-AI collaboration to ensure ethical decision-making. We also examine future trends,such as sustainable investing and quantum computing, which promise to further reshape finance. Data analysishighlights AI’s potential and pitfalls, providing recommendations for responsible adoption, including transparency,staff training, and regulatory engagement, to balance innovation with accountability.

Journal of Scientific Research and Technology
Chhatrapati Shahu Ji Maharaj University (IN)
Openalex Percentile: Top 84%
Big Data and Business Intelligence
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