AI IN TELCO
Machine learning in action: Practical use cases The application of machine learning in telecommunications is no longer a distant theoretical concept; it is already delivering tangible value in several high-growth areas. The use cases demonstrate the practical power of applying AI to the low-latency, highbandwidth capabilities of 5G networks. Shashank highlights several areas with significant momentum:“ We’ re seeing strong momentum in three key areas:
1. Private 5G networks in smart manufacturing and logistics – where we help clients deploy end-to-end solutions, from network design to data analytics.
2. Smart cities and infrastructure monitoring: Hitachi’ s heritage in OT and infrastructure gives us a unique advantage here.
3. AI-enabled video analytics at the edge: for safety, traffic and event intelligence.”
The future of the AI-native network Looking ahead, the role of machine learning is poised to become even more deeply embedded in the fabric of telecommunications. The evolution
150 November 2025