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Everyone wants AI in the RAN until it’s time to trust it.
AI promises to automate network functions, fine-tune performance, and bring order to today’s hyper-dynamic environments. But when it comes to real-world deployment, it still feels like a gamble. Training setups don’t match field conditions. Data is fragmented, incomplete, sometimes just faulty.
So, how do you build real trust in AI?
It starts with the data. Training algorithms is one thing but training them well is another. You need high-quality datasets, both real and synthetic. Real data grounds the models in how networks actually behave in true conditions. Synthetic data lets you push them even further, injecting anomalies, and creating the “what-if” moments that teach AI how to adapt.
AI that can think under pressure, stay aligned with timing and performance targets, and evolve as your network does. That's the end goal. That’s where AI training and testing, and AI productivity tools work together as an ongoing system of trust.
THE RESULT: YOU CAN TRUST YOUR AI WHEN VIAVI PUTS IT TO THE TEST.
