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The Role of Artificial Intelligence in Data Migration for Telecommunications

Sreenu Maddipudi

Sreenu.maddipudi@gmail.com

Architect, Enterprise Technologies

Abstract:

The telecommunications industry has witnessed rapid digital transformation in recent years, with data migration playing a critical role in adapting to new technologies and improving service delivery. As organizations move from legacy systems to modern cloud-based architectures, the complexity and scale of data migration processes increase. Traditional migration methods often face challenges such as downtime, data integrity issues, and the need for manual intervention. Artificial Intelligence (AI) has emerged as a transformative solution, offering automated, intelligent, and scalable approaches to data migration. This paper explores the role of AI in data migration for telecommunications, focusing on its impact on efficiency, accuracy, and cost-effectiveness. It highlights AI-driven techniques such as machine learning, natural language processing, and predictive analytics that can optimize migration processes. The paper also discusses challenges and opportunities, providing practical insights for telecommunications companies looking to leverage AI to streamline data migration, minimize risks, and enhance overall performance.

Keywords: Artificial Intelligence, Data Migration, Telecommunications, Machine Learning, Cloud Migration, Predictive Analytics, Natural Language Processing, Data Integrity, Automation, Telecommunication Systems.