Harnessing AI to Safeguard Data Integrity in Legacy System Upgrades

Vijayasekhar Duvvur

Abstract: Migrating data from legacy systems to modern platforms presents significant challenges, particularly in maintaining data integrity. This article explores the application of Artificial Intelligence (AI) in ensuring data integrity during the complex process of legacy system migration. AI technologies, including machine learning and pattern recognition, can automate data validation, error detection, and correction processes, thereby reducing human error and enhancing the reliability of the migration process. We will delve into various AI-driven approaches and technologies that have proven effective in safeguarding data integrity during transitions.

Keywords: Legacy System Migration, Data Integrity, Artificial Intelligence, AI, Machine Learning, ML, Data Validation, Error Detection, Data Correction, Automated Migration

How to Cite?: Vijayasekhar Duvvur, "Harnessing AI to Safeguard Data Integrity in Legacy System Upgrades", Volume 12 Issue 11, November 2023, International Journal of Science and Research (IJSR), Pages: 2178-2180, https://www.ijsr.net/getabstract.php?paperid=SR24517153612, DOI: https://dx.doi.org/10.21275/SR24517153612

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