Adaptive AI Models for Automating Legacy System Migration in Enterprise Environments

Abstract

The modernization of legacy systems within enterprise environments is a critical challenge that organizations face in today’s rapidly evolving digital landscape. Legacy systems, often deeply embedded in the operational fabric of large enterprises, pose several issues, including high maintenance costs, limited scalability, and difficulty in integrating with new technologies. The traditional approaches to legacy system migration are time-consuming, costly, and prone to errors. However, the rise of artificial intelligence (AI) and machine learning (ML) provides a promising avenue for automating and streamlining the migration process. This paper explores the potential of adaptive AI models in automating legacy system migration in enterprise environments, offering a more efficient and scalable solution to a problem that has long been a burden for IT teams.