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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50611
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The business sector has experienced a major shift with the introduction of artificial intelligence (AI), drastically changing how companies make decisions. This dissertation explores how AI technologies are evolving to support and enhance decision-making processes, showcasing their ability to boost precision, productivity, and creativity across various fields. By leveraging advancements in machine learning, deep learning, natural language processing, and big data analytics, AI enables businesses to process complex information and generate actionable insights, facilitating faster and more informed decisions. This research examines AIâs transformative impact on business operations, from managing customer relationships and optimizing supply chains to improving financial forecasts and strategic planning. Real-world examples highlight the tangible benefits companies are reaping, while the study also delves into challenges such as ethical concerns, algorithmic biases, data security, and transparency issues, stressing the importance of responsible AI integration. Blending insights from industry expert interviews and hard data analysis, this dissertation provides a well-rounded view of how AI is shaping decision-making. The results highlight how AI can dramatically speed up and sharpen decisions, but also stress that human oversight is crucial to keep things ethical, fair, and aligned with real-world nuances. While AI dramatically accelerates and refines decisions, the findings emphasize the irreplaceable role of human oversight in maintaining ethical, fair, and context-sensitive outcomes. Going beyond technical applications, this study explores how AI affects the workplace, reshaping jobs, skills, and organizational dynamics. It underscores the need for ethical guidelines and regulatory frameworks to address the societal and moral challenges accompanying AIâs integration into businesses. Ultimately, the dissertation offers actionable recommendations for adopting AI wisely and responsibly. These insights contribute to the broader discussion on AIâs role in shaping business strategies, highlighting the need for innovation that remains ethical and sustainable in todayâs digital landscape
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Publication Date
6/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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