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Explore how artificial intelligence is transforming traditional data engineering workflows in this 16-minute conference talk from Conf42 ML 2025. Learn about the limitations of conventional ETL (Extract, Transform, Load) processes and discover how AI-powered approaches are revolutionizing data pipeline development and management. Examine the strategic impact of AI integration in data engineering, including automated data quality checks, intelligent error handling, and predictive maintenance of data systems. Discover specific AI tools and technologies that are currently transforming the field, from automated schema detection to intelligent data mapping and transformation. Gain insights into implementation strategies for incorporating AI into existing data engineering workflows, including best practices for adoption and change management. Understand the future trajectory of AI in data engineering and how organizations can prepare for emerging trends in automated data processing, real-time analytics, and intelligent data governance systems.
