Role of Generative AI in Redefining Data Analytics

Year : 2025 | Volume : 03 | Issue : 02 | Page : 01 07
    By

    Shaikh Inamul Hasan,

  • Shaikh Ayesha,

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

Abstract

The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and enhance insight extraction through creative inference. This study delves into the multifaceted role of generative AI in modern analytics, examining its core methodologies and techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), and how they contribute to improving predictive performance. It also highlights the advantages of using synthetic data to overcome data scarcity, imbalance, or privacy limitations. In addition, the study investigates how generative AI can be effectively integrated with conventional analytics frameworks to support more accurate forecasting and dynamic decision-making. Ethical and practical considerations are also addressed, including issues surrounding data integrity, algorithmic fairness, and transparency. By analyzing real-world applications and case studies across diverse sectors, this study underscores the growing necessity for responsible, adaptive, and forward-thinking implementation of generative AI within the ever-evolving landscape of data analytics.

Keywords: Generative AI, data analytics, predictive modelling, synthetic data, ethical AI

[This article belongs to International Journal of Algorithms Design and Analysis Review ]

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):01-07.
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):01-07. Available from: https://journals.stmjournals.com/ijadar/article=2025/view=214632


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Regular Issue Subscription Review Article
Volume 03
Issue 02
Received 07/03/2025
Accepted 04/04/2025
Published 25/06/2025
Publication Time 110 Days
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