• Dr V. Sumalatha

The integration of Artificial Intelligence (AI) into the fields of data analytics and visualization has fundamentally transformed how global organizations and academic researchers collect, process, and interpret information. As the volume of data generated by digital activity expands at an unprecedented rate, traditional manual and rule-based methods have become insufficient for extracting deep, actionable insights. By leveraging machine learning (ML), natural language processing (NLP), and deep learning, contemporary analytics has become more accurate, scalable, and insightful. This article provides a comprehensive examination of how AI-driven strategies are evolving raw data into "decision intelligence," the functional domains of AI in academia, and the emerging trends—such as Explainable AI and immersive AR/VR environments—that are shaping the future of business and scholarly intelligence.

Data Visualization, Artificial Intelligence (AI), Machine Learning, Academic Integrity, Big Data Analytics, Predictive Modeling, Natural Language Processing (NLP), Decision Intelligence.

"AI-DRIVEN TRANSFORMATIONS IN DATA ANALYTICS AND VISUALIZATION: ENHANCING ACADEMIC INSIGHTS AND GLOBAL DECISION-MAKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.135-139, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06029.pdf

"AI-DRIVEN TRANSFORMATIONS IN DATA ANALYTICS AND VISUALIZATION: ENHANCING ACADEMIC INSIGHTS AND GLOBAL DECISION-MAKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp135-139, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06029.pdf