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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM.NCDTAIM037

Artificial Intelligence in Intelligent Systems: A Digital Transformation Perspective for Management

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10.55041/IJSREM.NCDTAIM037

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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.

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Sara Begum

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Abstract

Digital transformation has become a strategic priority for modern organizations, with Artificial Intelligence (AI) playing a central role in reshaping management practices and intelligent systems. This paper presents a comprehensive study on the integration of AI in intelligent systems with specific emphasis on its impact on managerial decision-making, operational efficiency, and organizational adaptability. The study discusses AI-based system architecture, materials and methods, intelligent algorithms, and application areas relevant to management such as decision support systems, automation, and analytics. Comparative analysis highlights the advantages of AI- driven intelligent systems over traditional management information systems. The findings reveal that AI enhances accuracy, speed, and strategic insight in management processes, while challenges related to data privacy, ethics, and explainability remain significant.

KEYWORDS

Artificial Intelligence Digital Transformation Intelligent Systems Management Systems Decision Support Automation

Cite This Article

Sara Begum, "Artificial Intelligence in Intelligent Systems: A Digital Transformation Perspective for Management," International Journal of Scientific Research in Engineering and Management, Sep 2026. https://doi.org/10.55041/IJSREM.NCDTAIM037

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9/1/2026

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