Telecommunications

The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI Read Article

Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. That massive, continuous flow of data generated by base stations, routers, switches and data centers — including network traffic information, performance metrics, configuration and topology — is unstructured and complex. Not surprisingly, traditional Read Article

The telecom industry’s efforts to drive efficiencies with AI are beginning to show fruit. An increasing focus on deploying AI into radio access networks (RANs) was among the key findings of NVIDIA’s third annual “State of AI in Telecommunications” survey, as more than a third of respondents indicated they’re investing or planning to invest in Read Article

In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of exploring GML to mitigate the AWS backbone network congestion risk.