Why AI Cannot Replace Business Intelligence, A/B Testing, and Human-Driven Insights Across Industries

Gunasai Muppala

Abstract: Artificial intelligence (AI) has made the wave of data analytics extremely fast in processing and interpreting huge datasets. AI can help with automated parts of data collection and initial analysis, but strategic decisions made during A/B testing need human judgment and experience. The paper will touch upon analyzing current trends and challenges and investigate case studies, the complementary relationship between AI technologies and human expertise, and, hence, the need for an approach that optically intermingles the strength of both to reach informed and effective decision-making. Businesses and industries worldwide use split testing or A/B testing as their main research method to check how separate web page designs work against each other. Business case studies confirm that AI improves all industries by handling complex datasets to find important details beyond BI systems. The case results show what AI and other analytical tools can do well and poorly in making business choices. Using AI technology together with BI tools as part of a human-led system creates the best solution for businesses to use data effectively while keeping decisions traceable.

Keywords: AI, A/B Testing and Human Driven Insights

How to Cite?: Gunasai Muppala, "Why AI Cannot Replace Business Intelligence, A/B Testing, and Human-Driven Insights Across Industries", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 1-4, https://www.ijsr.net/getabstract.php?paperid=SR25729070542, DOI: https://dx.doi.org/10.21275/SR25729070542