Year: 2024
Type: article
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
Author: Srianusha Kuchipudi -
Institution: Amazon (United States)
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405656514