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

Authors

  • Asif E. Sharwani Assistant Professor, International American University, Los Angeles, USA.
  • Mohammad Hossain Student, MBA Business Analytics, International American University, Los Angeles, USA.
  • Mahafuj Hassan Student, MBA, International American University, Los Angeles, USA.
  • Jessica Cristy Saliao Doctor of Management, Immigration Paralegal Nelson and Associates, Los Angeles, USA.

Keywords:

Artificial Intelligence, Business Intelligence, AI- Driven Analytics, Machine Learning, Predictive Analytics, Data- Driven, Decision-Making, Real-Time Analytics, Augmented Analytics

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.



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Posted

2026-01-13

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Copyright (c) 2026 Asif E. Sharwani, Mohammad Hossain , Mahafuj Hassan , Jessica Cristy Saliao (Author)

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