• Dr. A. Suresh

The rapid advancement of Artificial Intelligence (AI) is transforming research practices across various disciplines, including social sciences, medicine, and engineering. As research becomes increasingly data-intensive and complex, traditional methods for data collection, analysis, and collaboration struggle tokeep pace with the evolving demands of modern science (Anderson et al., 2021). AI is stepping in to fill this gap, equipping researchers with tools that enhance efficiency, accuracy, and scalability. AI's influence on research tools encompasses a wide range of applications. AI-powered automated literature reviews streamline the process, saving time and improving the relevance of findings, while AI-driven data collection tools offer superior capabilities for gathering, cleaning, and organizing data compared to manual approaches. In addition to data management, AI facilitates hypothesis generation by providing data-driven insights that guide the exploration of new research directions. Advanced machine learning models enable in-depth analysis of large datasets, revealing patterns and correlations that might be overlooked by human observation (Binns et al., 2021).AI also enhances predictive modeling and simulation, empowering researchers to anticipate potential outcomes in areas such as climate science, healthcare, and economics.

APPLICATION OF AI TOOLS IN DATA ANALYSIS AND INTERPRETATION

"APPLICATION OF AI TOOLS IN DATA ANALYSIS AND INTERPRETATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.253-257, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06049.pdf

"APPLICATION OF AI TOOLS IN DATA ANALYSIS AND INTERPRETATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp253-257, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06049.pdf