Artificial Intelligence: Transformative Paradigms in Computing & Information Technology (IT)

Authors

  • Rajapraveen K. N., J. Somasekar, A. Geethaselvarani, R. Swathi Gudipati, S. Farhad, Elangovan Muniyandy, Sunanda Das

Keywords:

Information Technology, Computing, Data, Decision making, Trends

Abstract

Within the ever-evolving realm of computers and information technology (IT), this research investigates new paths, difficulties, and breakthroughs. The abstract shows the huge effect of technology on our society and embodies the spirit of a comprehensive examination. In view of the quick growth of technology, the study attentively explores innovative breakthroughs like edge and quantum computing. It maneuvers past difficulties that afflict IT infrastructure, including challenges with scalability and cybersecurity hazards. Case studies from the real world throw light on practical applications and illustrate adaptability in a range of scenarios. Statistical tools employed in data analysis help evidence-based decision-making. The report anticipates future technical breakthroughs and impediments based on its estimates of the computer and IT sectors. It concludes with concrete ideas that bring academics, lawmakers, and business experts toward a future where computers and IT are sensibly managed. The project's aims and contributions are extensively detailed in this abstract, which establishes it as a significant addition to the present discourse. A complete examination of the complex relationships between technological trends, concerns, and opportunities is undertaken in order to promote well-informed decision  making, sustainable practices, and continued growth in this sector that is constantly evolving.

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References

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Published

27.03.2024

How to Cite

Elangovan Muniyandy, Sunanda Das, R. K. N. J. S. A. G. R. S. G. S. F. . (2024). Artificial Intelligence: Transformative Paradigms in Computing & Information Technology (IT). International Journal of Intelligent Systems and Applications in Engineering, 12(3), 1446–1454. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5537

Issue

Vol. 12 No. 3 (2024)

Section

Research Article

License

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