UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 2
February-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2502411


Registration ID:
555408

Page Number

e112-e118

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Title

Artificial Intelligence & Machine Learning: Types, Integration, Benefits, and Challenges in the Modern Era

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries by automating processes, strengthening decision-making, and improving efficiency. This article discusses the many types of AI and ML, their integration across sectors, and the benefits they offer, such as better accuracy, cost reduction, and tailored experiences. However, the adoption of these technologies also offers obstacles, including data privacy concerns, ethical biases, security dangers, and expensive implementation costs. Addressing these concerns is critical for responsible AI deployment. As AI and ML continue to evolve, their impact on enterprises and society will depend on balancing innovation with ethical and regulatory issues.

Key Words

Artificial Intelligence, Machine Learning, Deep Learning, AI Integration, Automation, Data Privacy, Ethical AI, AI Challenges, Industry Applications.

Cite This Article

"Artificial Intelligence & Machine Learning: Types, Integration, Benefits, and Challenges in the Modern Era", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.e112-e118, February-2025, Available :http://www.jetir.org/papers/JETIR2502411.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence & Machine Learning: Types, Integration, Benefits, and Challenges in the Modern Era", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppe112-e118, February-2025, Available at : http://www.jetir.org/papers/JETIR2502411.pdf

Publication Details

Published Paper ID: JETIR2502411
Registration ID: 555408
Published In: Volume 12 | Issue 2 | Year February-2025
DOI (Digital Object Identifier):
Page No: e112-e118
Country: NAGAPATTINAM, TAMIL NADU, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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