A Comprehensive Review of AI Tools and Their Applications

AI has come a long way in the past decade, transforming industries with intellectual automation, predictive analytics, and data-driven executive. AI tools understand an extensive range of technologies, such as machine learning platforms, natural language processing, computer vision, and robotic process automation, which facilitate companies to improve productivity, accuracy, and innovation. This paper finds a number of AI tools and their uses oblique various sectors, such as education, finance, retail, agriculture, manufacturing and healthcare. Moreover, the challenges of AI adoption, such as algorithmic bias, integrity, ethical issues and data confidentiality, are elaborated. In addition, upcoming days of AI development, such as an quantum computing, generative AI, and neuromorphic engineering, are discovered to focus on the next segment of AI improvements. Getting awareness of these tools, applications/ services with the challenges, stakeholders can make informed decisions on accepting AI technologies responsibly and masterly.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15227322
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Review of AI Tools and Their Applications

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

A Comprehensive Review of AI Tools and Their Applications

article en

Abstract

AI has come a long way in the past decade, transforming industries with intellectual automation, predictive analytics, and data-driven executive. AI tools understand an extensive range of technologies, such as machine learning platforms, natural language processing, computer vision, and robotic process automation, which facilitate companies to improve productivity, accuracy, and innovation. This paper finds a number of AI tools and their uses oblique various sectors, such as education, finance, retail, agriculture, manufacturing and healthcare. Moreover, the challenges of AI adoption, such as algorithmic bias, integrity, ethical issues and data confidentiality, are elaborated. In addition, upcoming days of AI development, such as an quantum computing, generative AI, and neuromorphic engineering, are discovered to focus on the next segment of AI improvements. Getting awareness of these tools, applications/ services with the challenges, stakeholders can make informed decisions on accepting AI technologies responsibly and masterly.

Zenodo (CERN European Organization for Nuclear Research)
Hans Raj Mahila Maha Vidyalaya (IN)
Openalex Percentile: Top 41%
Internet of Things and AI
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A Comprehensive Review of AI Tools and Their Applications · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS