Artificial Intelligence and Machine Learning

The Catalyst for ​Tomorrow’s Zero-Touch Networks​

 
AI's powerful algorithm, intelligence and predictive power serve as the catalyst for tomorrow's highly automated, zero-touch networks.

From AI Optimizing AI to Digital Twins, VIAVI cutting-edge Telco AI solutions ensure a seamless and secure digital experience for all.

 

As the world becomes more and more connected, the hyperscale and data center ecosystem must meet the insatiable demand for memory, bandwidth, computing power, storage and speed.

The rollout of 5G is placing unprecedented strain on data center infrastructure worldwide, with the introduction of new services, IoT verticals, new ultra-low-latency applications and the intelligent edge that powers them.

Overcoming these challenges requires seamless, holistic network management. Artificial Intelligence (AI) and Machine Learning (ML) provides an end-to-end view of the network and simplifies test, assurance and optimization processes. 

Path to Zero-Touch Networks

Machine Learning

Machine Learning

Machine learning (ML) is already increasingly used to automate network tasks, predict potential outcomes and optimize services.

Artificial Intelligence

Artificial Intelligence

AI ensures that as the network grows, it can adapt and expand to new consumer needs and business requirements. The use of network digital twins provide the next iteration of network intelligence of testing.

Digital Twin

Zero-Touch Networks

Zero-Touch Networks (ZTNs) are autonomous, virtualized networks that can analyze, optimize and heal themselves based on data. They enable CSPs to increase resilience and boost agility – a critical requirement as networks become increasingly complex.

The Network Digital Twin

The Network Digital Twin
VIAVI’s AI-powered Digital Twin technology enables new predictive capabilities that help fortify networks. By creating a virtual model of a network in the lab, service providers can more quickly and effectively manage network behaviors and disruptions.

 

These digital twins play a pivotal role in advancing network design, reliability and performance. They are an invaluable tool for identifying network issues before they arise, and they enable the timely troubleshooting of operational challenges once the network is deployed and operational.

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