The Impact of Generative AI on Data Engineering: A Technical Perspective
Year: 2025
Type: article
Abstract: The integration of generative AI is fundamentally transforming the landscape of data engineering, revolutionizing how organizations approach pipeline development, maintenance, and optimization. This transformation spans across various sectors, from automotive to insurance, introducing sophisticated approaches to data processing and management. The article explores how AI-driven solutions are enhancing pipeline efficiency, automating routine tasks, and enabling more sophisticated approaches to data quality management and monitoring. Through case studies in automotive and insurance sectors, the research demonstrates the practical implementation of AI-powered systems in real-world scenarios, highlighting advancements in areas such as real-time data processing, automated schema translation, and intelligent metadata management. The article also examines technical implementation considerations, emphasizing the importance of robust frameworks for AI integration and performance monitoring.
Author: Raghavendra Kurva -
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408909186