International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Harnessing the Power of Machine Learning and Cube Technologies for Transformative Data Analytics

Author(s) Ravitej Veeramachaneni
Country United States
Abstract Machine learning, a cornerstone of artificial intelligence, is increasingly being integrated with traditional cube technologies to enhance data analysis and decision-making capabilities. While cube technologies excel at providing structured data exploration and OLAP capabilities, machine learning algorithms can uncover hidden patterns, predict future trends, and automate complex tasks. This technical article explores the synergistic relationship between machine learning and cube technologies, highlighting how their integration is transforming the landscape of data analytics and empowering organizations to gain deeper insights and make more informed decisions.
Keywords Keywords: Machine Learning, Cube Technologies, Data Analytics, Predictive Modeling, Business Intelligence
Field Computer
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-28
Cite This Harnessing the Power of Machine Learning and Cube Technologies for Transformative Data Analytics - Ravitej Veeramachaneni - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29421
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29421
Short DOI https://doi.org/g8pnj6

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