Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44731
Volume:
9 |
4 |
Apr 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.
This study explores the transformative impact of Artificial Intelligence (AI) on the IT sector, fastening on its operations in robotization, cybersecurity, and data- driven decision- timber. AI technologies similar as machine literacy, deep literacy, and natural language processing are revolutionizing colourful IT functions by enhancing effectiveness, security, and prophetic capabilities. The findings reveal that AI significantly improves functional effectiveness through robotization, strengthens cybersecurity by detecting and mollifying pitfalls, and enhances decision- making by assaying vast quantities of data. However, challenges similar as ethical enterprises, sequestration pitfalls, and job relegation must be addressed to insure responsible AI perpetration. The study recommends that associations borrow AI- driven strategies while prioritizing ethical guidelines, pool reskilling, and robust data sequestration measures. By using AI effectively, businesses can drive invention and gain a competitive edge in the IT sector.
KEYWORDS
Publication Date
4/16/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...