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Review Article Open Access December 27, 2021

Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis

Vishwanadham Mandala 1,* and Srinivas Naveen Reddy Dolu Surabhi 2
1
Enterprise Data Integration Architect, Indiana, USA
2
Software Engineer, Michigan, USA
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2021)
Page(s): 56-64
DOI: 10.31586/jaibd.2021.943
Received
March 05, 2021
Revised
July 06, 2021
Accepted
December 01, 2021
Published
December 27, 2021
Keywords
Industry 4.0; Internet of Things (IoT); Artificial Intelligence (AI); Machine Learning (ML); Smart Manufacturing (SM)
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2021. Published by Scientific Publications
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Cite This Article

APA Style
Mandala, V. , & Surabhi, S. N. R. D. (2021). Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis. Current Research in Public Health, 1(1), 56-64. https://doi.org/10.31586/jaibd.2021.943
ACS Style
Mandala, V. ; Surabhi, S. N. R. D. Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis. Current Research in Public Health 2021 1(1), 56-64. https://doi.org/10.31586/jaibd.2021.943
Chicago/Turabian Style
Mandala, Vishwanadham, and Srinivas Naveen Reddy Dolu Surabhi. 2021. "Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis". Current Research in Public Health 1, no. 1: 56-64. https://doi.org/10.31586/jaibd.2021.943
AMA Style
Mandala V, Surabhi SNRD. Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis. Current Research in Public Health. 2021; 1(1):56-64. https://doi.org/10.31586/jaibd.2021.943 
@Article{crph943,
AUTHOR = {Mandala, Vishwanadham and Surabhi, Srinivas Naveen Reddy Dolu},
TITLE = {Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing: A Comparative Analysis},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2021},
NUMBER = {1},
PAGES = {56-64},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/943},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2021.943},
ABSTRACT = {The manufacturing industry has embraced modern technologies such as big data, machine learning, and artificial intelligence. This paper examines AI and machine learning developments in the manufacturing industry, comparing current practices and data-driven projects. It aims better to understand these technologies and their potential benefits and challenges. The research identifies opportunities for innovative business solutions and explores industry practices and research results. The paper focuses on implementation rather than technical aspects, aiming to enhance knowledge in this area.},
}
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AB  - The manufacturing industry has embraced modern technologies such as big data, machine learning, and artificial intelligence. This paper examines AI and machine learning developments in the manufacturing industry, comparing current practices and data-driven projects. It aims better to understand these technologies and their potential benefits and challenges. The research identifies opportunities for innovative business solutions and explores industry practices and research results. The paper focuses on implementation rather than technical aspects, aiming to enhance knowledge in this area.
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