US Network Testing Company VIAVI Launches AI Experts Feature
2026-06-05 10:18
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en.Wedoany.com Reported - On June 4, US network testing and measurement company VIAVI Solutions launched the AI Experts feature, marking the first addition to its NITRO AI portfolio. Designed for wireless testing, validation, and observability workflows, this feature embeds product-level AI capabilities directly into the VIAVI testing platform, providing contextual guidance, automated processes, and diagnostic support in both lab and field environments.VIAVI AI Expert

The core design of AI Experts is to transform communication testing expertise into directly callable, in-product intelligent capabilities. Traditional wireless network testing involves numerous standard parameters, signal behaviors, device configurations, test topologies, fault localization, and report outputs. Engineers often need to switch repeatedly between instrument interfaces, standard documents, historical experience, and backend analysis tools. VIAVI's AI Experts aims to compress these steps within the testing platform, using a set of task-specific AI agents to automatically execute configuration, analysis, diagnosis, and reporting tasks, enabling engineers to obtain judgmental insights faster during field troubleshooting, lab validation, and complex network testing.

The initial AI Experts have been launched for OneAdvisor 800 Wireless, TM500, and TeraVM. Among them, the OneAdvisor 800 Wireless AI Expert focuses on field wireless testing, combining wireless standards, industry practices, instrument functions, and real signal behaviors to provide engineers with operational recommendations and problem explanations in specific scenarios. The TM500 AI Expert and TeraVM AI Expert are more oriented towards lab environments, supporting test setup, configuration, diagnostic triage, and test topology monitoring, applicable to equipment validation, network function testing, protocol verification, and large-scale simulation.

The industry value of this feature lies in the shift of communication network testing from "instrument data collection" to "AI-assisted judgment and automated execution." 5G Advanced, Open RAN, private networks, non-terrestrial networks, and future 6G development are increasing testing complexity. Engineers must understand standard evolution while handling multi-vendor equipment, complex signal environments, and continuously iterating network functions. If AI Experts can provide more task-relevant explanations and operational paths at the instrument level, it can reduce time spent on manual information retrieval and repetitive configuration, allowing limited testing expert resources to cover more projects.

For operators, equipment vendors, and lab customers, the direct integration of AI capabilities into testing equipment also implies that wireless validation workflows may evolve more rapidly towards automation and reproducibility. In the past, testing capabilities heavily relied on the experience of senior engineers, with significant personnel differences in complex problem troubleshooting. When AI agents can embed standard knowledge, instrument capabilities, and diagnostic logic into the same platform, teams can solidify more experience into processes, lower the learning curve for new engineers, and maintain result consistency in large-scale testing tasks. As AI-native networks, autonomous networks, and intelligent operations become key directions in the communications industry, testing and validation phases also need to introduce higher levels of intelligence simultaneously; otherwise, network construction speed, fault localization efficiency, and new technology validation cycles will be constrained.

VIAVI's inclusion of AI Experts in the NITRO AI portfolio also indicates its strategy to expand AI capabilities from point tools to a platform-level testing capability. In the future, if similar features continue to cover more VIAVI product lines, they may further extend into scenarios such as optical network testing, network security validation, cloud infrastructure testing, edge network monitoring, and operational observability. The application of AI in the communications industry is not limited to network control and business operations but is also penetrating fundamental areas like testing, validation, monitoring, and fault analysis. The launch of AI Experts demonstrates that test instrument vendors are redefining the interaction between engineers and testing platforms through in-product intelligence.

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