Charter’s Spectrum Enterprise Unit Demos AI Model for Predicting Network Demand

Proof of concept at MEF19 global network conference shows how AI, machine learning and data from IoT can be used for intelligent, intent-based network scaling solution
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Charter Communications’ Spectrum Enterprise unit has delivered a proof of concept at the Metro Ethernet Forum (MEF) conference in Los Angeles, showing how artificial intelligence, machine learning and internet of things can be combined into a solution that can predict network demand.

The proof of concept depicts a smart sporting venue with an intelligence and autonomous software defined, wide area network (SD-WAN). Using a network analytics engine based on AI and machine learning that continuously ingests data from IoT devices, the network dynamically flexes across dimensions including capacity, performance and software resources.

This flexing of the SD-WAN network ensures that the proper level of WiFi speed, security and application performance are provided to guests.

Technology partners included in Charter’s PoC include Equinix, Nefeli Networks, Nokia and Vitria Technology. The PoC is being delivered at the sixth annual MEF 3.0 Proof of Concept Showcase from Tuesday through Thursday.

“By bringing together capabilities such as intent-based networking, automated service orchestration, AI/ML and IoT, we are able to demonstrate how dynamic network services can be offered to enterprises to solve unique business challenges,” said Satya Parimi, group vice president of enterprise data products for Spectrum Enterprise.

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