Transformative Impact of Artificial Intelligence in Data Analytics and Business Intelligence

Abstract

Analyzing raw data systematically in order to find patterns, draw conclusions, and generate forecasts that make sense is known as data analytics. This process entails sorting through the enormous datasets that corporations amass using sophisticated algorithms, statistical models, and machine learning approaches (Li & Wu, 2021). Businesses may uncover the hidden story by combining apparently unrelated data pieces into coherent tales via the lens of data analytics. Producing reports is not the only objective; another is to draw out useful information that spurs strategic decision-making, (Farooq, Yuen, et al., 2024; León-Romero et al., 2024).