CFP last date
20 August 2025
Call for Paper
September Edition
IJCA solicits high quality original research papers for the upcoming September edition of the journal. The last date of research paper submission is 20 August 2025

Submit your paper
Know more
Random Articles
Reseach Article

The Impact of Artificial Intelligence on Data Analytics

by Arunachalam Rajkumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 21
Year of Publication: 2025
Authors: Arunachalam Rajkumar
10.5120/ijca2025925239

Arunachalam Rajkumar . The Impact of Artificial Intelligence on Data Analytics. International Journal of Computer Applications. 187, 21 ( Jul 2025), 27-31. DOI=10.5120/ijca2025925239

@article{ 10.5120/ijca2025925239,
author = { Arunachalam Rajkumar },
title = { The Impact of Artificial Intelligence on Data Analytics },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2025 },
volume = { 187 },
number = { 21 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number21/the-impact-of-artificial-intelligence-on-data-analytics/ },
doi = { 10.5120/ijca2025925239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-26T00:55:56.410385+05:30
%A Arunachalam Rajkumar
%T The Impact of Artificial Intelligence on Data Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 21
%P 27-31
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The integration of Artificial Intelligence (AI) into data analytics has transformed the way organizations collect, process, and interpret data. By leveraging AI technologies such as machine learning, deep learning, and natural language processing, data analytics has become more accurate, scalable, and insightful. AI enables the automation of complex data tasks, improves predictive modeling, and facilitates real-time decision-making, leading to increased efficiency and innovation across various sectors. This paper explores the profound impact of AI on data analytics, examining its applications, benefits, and the challenges that come with implementation. It also discusses how AI-driven analytics is shaping the future of data management and business intelligence. The findings highlight that AI not only enhances the analytical capabilities of organizations but also opens new avenues for data-driven strategies and growth.

References
  1. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108–116.
  2. Marr, B. (2016). Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results. Wiley.
  3. Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of Machine Learning (2nd ed.). MIT Press.
  4. Ghosh, R., & Scott, J. (2020). Artificial Intelligence in Data Analytics: A Survey. Journal of Big Data, 7(1), 1–20. https://doi.org/10.1186/s40537-020-00301-8
  5. IBM. (2021). What is Augmented Analytics? Retrieved from https://www.ibm.com/cloud/learn/augmented-analytics
  6. Kelleher, J. D., & Tierney, B. (2018). Data Science. MIT Press.
  7. McKinsey Global Institute. (2020). The State of AI in 2020. Retrieved from https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/global-ai-survey
  8. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
  9. Gartner. (2021). Top Trends in Data and Analytics for 2021. Retrieved from https://www.gartner.com/en/articles/top-trends-in-data-and-analytics-for-2021.
  10. Zhang, Y., & Yang, Q. (2019). An Overview of Multi-Task Learning in Deep Neural Networks. IEEE Transactions on Knowledge and Data Engineering, 34(12), 1–16. https://doi.org/10.1109/TKDE.2019.2911406
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence (AI) Data Analytics Machine Learning Big Data Predictive Analytics Data Processing Decision Making