Tektronix TIF 2026
This page was machine-translated and may differ from the original. View original

KT Develops AI-Based Network Operations Platform 'Neuroflow'

Google 우선 소스Published2018.01.17 10:11
Network Management System Processing Big Data Collection-Analysis-Deep Learning Simultaneously
Plans to Open AI Network Control Center by 2020

KT announced that it has developed 'Neuroflow,' an AI-based network operations platform.

'Neuroflow' is an 'artificial intelligence network operations' platform that analyzes vast amounts of data collected from wired and wireless network management systems and assists in network decision-making through iterative deep learning. While there have been cases where artificial intelligence has been applied to specific network segments such as LTE fault prediction systems, this is the first time an artificial intelligence platform has been developed that can analyze data from any type of network including wired, wireless, and IoT.



Based on 'Neuroflow,' KT plans to progressively intelligentize network operations including network fault root cause analysis, fault prediction, and network design, and plans to establish an 'AI-based Network Control Center' by 2020 to provide stable network services based on AI. KT believes that as network operations become intelligentized through 'Neuroflow,' it will be able to provide customers with rapid and high-quality services.

'Neuroflow' is developed based on open source, making it easy to expand and reuse, and has the characteristic of being usable as a general platform for intelligentizing various operational tasks.

Jeon Hong-beom, Director of the Infrastructure Research Institute at KT's Convergence Technology Research Center, stated, "We will use the successful development of Neuroflow as a stepping stone to innovate the field of AI-based network operations management," and added, "KT will continue to make efforts in developing artificial intelligence technology to lead the Fourth Industrial Revolution."
To request a correction, reply or follow-up report on this article, see how to file a request. Previously published statements are collected in corrections & replies.
김학준 기자