AI-Driven Innovations in Data Transfer Efficiency

Author(s)	Srianusha Kuchipudi
Country	United States
Abstract	The integration of Artificial Intelligence in data transfer systems represents a revolutionary advancement in high-speed data movement and real-time transfer optimization. This comprehensive article examines AI's specific role in optimizing data flow, routing, and bandwidth management for large-scale data transfers. Through detailed analysis of real-world implementations, the article focuses on how AI technologies enhance data transfer efficiency, particularly in real-time, low-latency contexts. It explores innovative applications in data synchronization and predictive routing, while addressing technical integration challenges and emerging trends in quantum-enhanced data transfer systems
Keywords	Keywords: AI-Driven Data Transfer, Network Optimization, Quantum Computing Integration, Edge Computing Systems, Self-Healing Networks
Field	Computer
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-18
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.33099

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International Journal For Multidisciplinary Research