The Dawn of AI-Powered Data Analysis Implications for Business, Social Science, and the Humanities

The Dawn of AI-Powered Data Analysis Implications for Business, Social Science, and the Humanities

Authors: T. Vasantha Kumaran
Date: January-March, 2026
Page Numbers: 63-75
 
Issue: 27
Volume: 12
Abstract : This paper examines the transformative impact of artificial intelligence (AI) and large language models (LLMs) on organisational data analysis practices. The integration of these technologies is fundamentally shifting how businesses extract insights from complex datasets, with recent surveys indicating AI adoption for data analysis has increased from 55% to 78% within a single year. Traditional analytical methods, characterised by manual processes vulnerable to biases and inefficiencies, are rapidly giving way to sophisticated AI-driven systems capable of autonomous pattern recognition and insight generation. LLMs, with their massive parameter counts and natural language processing capabilities, have emerged as particularly powerful analytical tools, enabling both technical and non-technical professionals to interrogate diverse datasets through conversational interfaces.

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