Enhancing Business Intelligence Through AI and Big Data: A Focus on Precision Mining and Real-Time Analysis

The research examines how Artificial Intelligence (AI) and Big Data work together in Business Intelligence (BI) systems to optimize data analysis and enhance both decision-making processes and operational efficiency. Businesses can discover patterns and trends within massive datasets using machine learning techniques like decision trees, support vector machines (SVMs), and random forests which enables them to perform predictive analysis for better forecasting. Deep learning methods increase processing capabilities for unstructured data formats such as text alongside images and videos. The research shows businesses benefit from AI and Big Data through actionable insights and higher accuracy while reducing operational expenses. Research findings indicate that AI-driven BI systems deliver superior predictive abilities and decision-making capabilities alongside better operational efficiency compared to conventional BI tools. The study demonstrates how these technologies enable businesses to transform their strategies while driving innovation and establishing market leadership. The study recommends organizations integrate AI and Big Data with their business intelligence systems to maximize system optimization benefits.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-03-28
DOI
https://doi.org/10.54254/2755-2721/2025.21643
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Enhancing Business Intelligence Through AI and Big Data: A Focus on Precision Mining and Real-Time Analysis

Zhujun Wang
Applied and Computational Engineering
Big Data and Business Intelligence
article

Enhancing Business Intelligence Through AI and Big Data: A Focus on Precision Mining and Real-Time Analysis

Zhujun Wang
article en

Abstract

The research examines how Artificial Intelligence (AI) and Big Data work together in Business Intelligence (BI) systems to optimize data analysis and enhance both decision-making processes and operational efficiency. Businesses can discover patterns and trends within massive datasets using machine learning techniques like decision trees, support vector machines (SVMs), and random forests which enables them to perform predictive analysis for better forecasting. Deep learning methods increase processing capabilities for unstructured data formats such as text alongside images and videos. The research shows businesses benefit from AI and Big Data through actionable insights and higher accuracy while reducing operational expenses. Research findings indicate that AI-driven BI systems deliver superior predictive abilities and decision-making capabilities alongside better operational efficiency compared to conventional BI tools. The study demonstrates how these technologies enable businesses to transform their strategies while driving innovation and establishing market leadership. The study recommends organizations integrate AI and Big Data with their business intelligence systems to maximize system optimization benefits.

Applied and Computational EngineeringVol. 119(1)
City University of Hong Kong (HK)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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