Modernizing data migration from legacy systems using an intelligent interface powered by AI
Year: 2025
Type: article
Abstract: This article explores how organizations can modernize data migration from legacy systems to cloud platforms using an intelligent interface powered by artificial intelligence. The approach combines a metadata-driven foundation that captures comprehensive information about source and target systems with intuitive visual mapping tools that enable collaboration between technical and business stakeholders. AI capabilities significantly enhance legacy data understanding through automated profiling, schema discovery, intelligent classification, and smart transformation suggestions. The execution phase leverages automated conversion through transformation engines, code generation, and incremental migration support. Robust validation mechanisms ensure data integrity through quality verification, reconciliation reporting, and automated testing. The intelligent interface also facilitates stakeholder engagement through intuitive dashboards, collaboration tools, and knowledge repositories. Cloud integration provides additional advantages including elastic scalability, secure data handling, cost optimization, and seamless integration with cloud data services. Organizations implementing this approach can expect accelerated timelines, reduced costs, improved data quality, lower risk, better documentation, and increased stakeholder satisfaction.
Author: Pavan Kumar Boyapati
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409264447