FROM TRADITIONAL BI TO INTELLIGENT ANALYTICS: THE RISE OF AI-DRIVEN SOLUTIONS FOR ACCURACY, SPEED, AND STRATEGY

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Authors: Asif Ehsan Sharwani, Mohammad Hossain, Mahafuj Hassan, Jessica Cristy Saliao
Cited by: 0

Abstract

Businesses now need business intelligence (BI) due to the increasing reliance on data for decision-making.However, BI systems are mostly similar to the conventional paradigm in that they are unable to process or evaluate the daily amounts of data created.The use of AI analytics has transformed the methodology by utilizing artificial intelligence techniques such as machine learning and the processing of natural language to deliver real-time insights, predictive predictions, and actionable applications.Through the discussion, this research explores BI data milieu changes in AI analytics, distinctions, and their various implementations throughout industries.Additionally, this study sheds light on the difficulties associated with AI-driven BI setups and offers suggestions for various solutions.By expanding AI analytics, which is desirable due to competition, an organization gains considerable efficiency and decision-making enhancement.

Fields of Study & Subjects

Big Data and Business Intelligence Competitive and Knowledge Intelligence Impact of AI and Big Data on Business and Society

Publication details

Volume
4
Issue
1
Pages
1–14
Publication date
13 January 2026