AI in the RAN: High Stakes, High Complexity
Modern networks are evolving fast and AI is key to managing that complexity. But deploying AI at scale isnt simple.
Common challenges include:
- Training data that adequately reflect real-world conditions
- Fragmented, limited diversity or incomplete datasets
- Manual testing that cant match AI’s speed or evolution
- Meeting strict timing, reliability, and KPI targets
