Open, Automated, and Programmable Transport Networks: 2024 Heavy Reading Survey

Heavy Reading’s Open, Automated & Programmable Transport Networks survey-based study investigates the opportunities and challenges around automation in transport, including the applications of artificial intelligence and machine learning.

September 30, 2024

1 Min Read

Open, Automated, and Programmable Transport Networks: 2024 Heavy Reading Survey
Over the past decade, the communications industry has seen a steady ramp of automation in communications service provider (CSP) networks. The transport network has historically been operated and managed statically and defined by manual processes and proprietary protocols. With its greater complexities—particularly in the optical layers—transport was not the earliest adopter of network automation. However, CSPs understand that transport is an essential component of the end-to-end network and a critical component of automation.
Heavy Reading’s Open, Automated & Programmable Transport Networks survey-based study investigates the opportunities and challenges around automation in transport, including the applications of artificial intelligence and machine learning. This white paper is based on global survey results and provides the industry’s most in-depth look at the current state and future trajectory of transport network automation.

The paper includes the following topics:

  • Transport automation use cases and benefits

  • IP and optical convergence, or IP over DWDM

  • Optical layer automation

  • AI and ML in transport

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