Abstract
Data migration is a critical aspect of software systems modernization, often fraught with challenges such as data compatibility, security, and integrity. Traditional approaches to data migration can be resource-intensive, error-prone, and time-consuming. However, Artificial Intelligence (AI) and Machine Learning (ML) offer transformative techniques to automate, optimize, and validate data migration processes. This paper discusses the role of AI and ML in streamlining data migration for software systems modernization, detailing specific techniques, methodologies, and real-world applications that enhance migration efficiency, accuracy, and scalability
Published Version
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