The transformative impact of AI on data engineering, data science, and business intelligence

Pathak, Ankit (2025) The transformative impact of AI on data engineering, data science, and business intelligence. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1604-1615. ISSN 2582-8266

The advent of artificial intelligence is transforming business intelligence, reshaping the roles of data professionals, and offering unprecedented capabilities across the data lifecycle. This article examines how AI technologies are revolutionizing data engineering through automated pipeline construction, intelligent data quality management, and seamless data integration while simultaneously enhancing data science with automated feature engineering, democratized machine learning, and explainable decision support. Current trends in real-time analytics, cloud-native architectures, edge intelligence, and federated learning illustrate the evolving landscape. Despite these advancements, significant challenges persist in data governance, algorithmic bias, model explainability, and workforce transformation. By exploring both opportunities and limitations, the article provides a balanced perspective on how organizations can harness AI to elevate their business intelligence capabilities while addressing ethical and practical concerns.