AI in Business Data Analytics: A Review of Current Practices and Future Direction

Authors

  • Vidya Devi Oad Indiana Wesleyan University Author

DOI:

https://doi.org/10.70445/gtst.2.2.2026.156-174

Keywords:

AI, Business data analytics, Machine learning, Predictive Analytics, NLP

Abstract

Artificial Intelligence (AI) is changing the way business data analytics is processed by allowing organizations to process vast amounts of data, discover insights, and make decisions based on the data at a level never seen before. This review will discuss the existing AI applications, such as machine learning, natural language processing, predictive analytics, and AI-powered visualization, in major business processes like marketing, finance, supply chain, and human resources. It further brings out the advantages of AI increased efficiency, decision making, cost reduction, and competitive advantage and touches issues such as data quality, ethical issues, cost of implementation, and skills shortages. New developments, including explainable AI, generative AI, and democratized analytics, are addressed, which offer future adoption guidelines.

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Published

2026-04-15

Issue

Vol. 2 No. 2 (2026): Special Issue : Emerging Trends in Science and Technology

Section

Articles

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Copyright (c) 2026 Vidya Devi Oad (Author)

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.