Verizon
Building Tomorrow's Network for AI Innovation
Pages
12
Time to read
11 mins
Publication
Language
English
Downloads
5
Pages
12
Time to read
11 mins
Publication
Language
English
Downloads
5
This white paper discusses the evolution of network architecture necessary for supporting artificial intelligence (AI) in enterprise settings. It outlines the challenges posed by legacy networks, which are often complex and inadequate for the data demands of AI. The document emphasizes the need for a strategic approach to network design, transforming networks from mere commodities into strategic assets that align with business priorities. It presents various use cases across different sectors, including manufacturing and healthcare, demonstrating how advanced networks can enhance productivity, operational efficiency, and customer experiences. The paper also details the importance of technologies such as Software-Defined Wide Area Network (SD-WAN) and private 5G in creating resilient, high-performing networks. Additionally, it highlights the necessity of assessing AI readiness and adapting network capabilities to meet evolving demands. The document serves as a guide for organizations looking to modernize their network infrastructure to leverage AI effectively.