Artificial Intelligence and Data Science: A Synergistic Approach

Artificial Intelligence and Data Science are two of the most important technologies to develop in the 21st century. AI simulates human intelligence, while Data Science can mine vast datasets for insights; both toward the transformation of industries, economies, and societies. This paper explores areas of intersection of Data Science and AI, including synergies, obstacles, and application. The objective is to understand how AI augments Data Science methods while Data Science steers the development of AI. Using a mix of primary and secondary data, this paper reviews current trends, identifies challenges, and makes suggestions for future applications and research. The emphasis of the research is on the disruptive potential of AI-based Data Science, which can solve critical challenges surrounding issues like data privacy, algorithmic discrimination, and the need for professional expertise.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15534081
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Data Science: A Synergistic Approach

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

Artificial Intelligence and Data Science: A Synergistic Approach

article en

Abstract

Artificial Intelligence and Data Science are two of the most important technologies to develop in the 21st century. AI simulates human intelligence, while Data Science can mine vast datasets for insights; both toward the transformation of industries, economies, and societies. This paper explores areas of intersection of Data Science and AI, including synergies, obstacles, and application. The objective is to understand how AI augments Data Science methods while Data Science steers the development of AI. Using a mix of primary and secondary data, this paper reviews current trends, identifies challenges, and makes suggestions for future applications and research. The emphasis of the research is on the disruptive potential of AI-based Data Science, which can solve critical challenges surrounding issues like data privacy, algorithmic discrimination, and the need for professional expertise.

Zenodo (CERN European Organization for Nuclear Research)
Vidya Prathishthan (IN), Department of Commerce (AU)
Peace, Justice and strong institutions
Openalex Percentile: Top 40%
Internet of Things and AI
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Artificial Intelligence and Data Science: A Synergistic Approach · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS