Role of Generative AI in Redefining Data Analytics

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 03 | 02 | Page : –
    By

    Shaikh Inamul Hasan,

  • Shaikh Ayesha,

  1. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
  2. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India

Abstract

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The rapid evolution of data-driven technologies has introduced unprecedented challenges and opportunities in the field of data analytics. Generative AI, a transformative subset of artificial intelligence, is redefining the analytical landscape by augmenting traditional approaches with its ability to synthesize, simulate, and enhance data insights. This paper explores the application of generative AI in data analytics, detailing its methodologies, benefits, and challenges. It emphasizes the role of generative AI in improving predictive accuracy, addressing data scarcity through synthetic data generation, and enabling advanced simulations for decision-making. Furthermore, the paper discusses the integration of generative AI with existing analytical tools and highlights ethical considerations, including data privacy and algorithmic bias. Through case studies and realworld applications, the findings underscore the necessity for adaptive, innovative, and responsible use of generative AI in modern analytics.

Keywords: Generative AI, Data Analytics, Predictive Modelling, Synthetic Data, Ethical AI.

How to cite this article:
Shaikh Inamul Hasan, Shaikh Ayesha. Role of Generative AI in Redefining Data Analytics. International Journal of Algorithms Design and Analysis Review. 2025; 03(02):-.
How to cite this URL:
Shaikh Inamul Hasan, Shaikh Ayesha. Role of Generative AI in Redefining Data Analytics. International Journal of Algorithms Design and Analysis Review. 2025; 03(02):-. Available from: https://journals.stmjournals.com/ijadar/article=2025/view=0


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References

  1. https://ieeexplore.ieee.org/document/6909716%20
  2. https://link.springer.com/journal/429%20
  3. https://link.springer.com/article/10.1007/s41060-%20019-00146-2%20
  4. https://ieeexplore.ieee.org/document/9451184%20
  5. https://www.sciencedirect.com/science/article/pii/S%20266667582030055X%20
  6. https://ieeexplore.ieee.org/document/9172074
Ahead of Print Subscription Review Article
Volume 03
02
Received 07/03/2025
Accepted 04/04/2025
Published 25/06/2025
Publication Time 110 Days
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