Paper Details

Name: Ravindra Kumar Vishwakarma & Harsh Kumar
Country: India

Year: 2026
Volume: Volume-13, Issue-1 (January-June)
Page Number: 23-29
DOI: https://doi.org/10.5281/zenodo.18654463

ABSTRACT
Artificial Intelligence (AI) and Data Science (DS) have come together as a single paradigm for intelligent, data-driven decision making as a result of the quick development of computer technology. While data science concentrates on data collection, processing, statistical analysis, and knowledge extraction, artificial intelligence offers algorithms with learning,
reasoning, and automation capabilities. Research and industrial practices in the fields of healthcare, finance, environmental sciences, smart cities, and education have all changed as a result of the integration of these two domains. This review paper offers a methodical, researcher-focused examination of the combination of data science and artificial intelligence.
Conceptual underpinnings, methodological frameworks, tools and technologies, important application fields, difficulties, ethical issues, and future research prospects are all covered. The purpose of the publication is to provide researchers, academics, and practitioners working in the nexus of AI and data science with a thorough reference.

Keywords: Artificial Intelligence, Data Science, Machine Learning, Big Data Analytics, Deep Learning, Intelligent Systems