Telecom Predictive Maintenance Intelligence
This AI solution uses advanced analytics and federated learning to predict failures and optimize maintenance schedules across distributed telecom infrastructure. By remotely monitoring network assets and equipment health, it reduces unplanned outages, lowers truck rolls and repair costs, and extends asset life while improving service reliability for customers.
The Problem
“Federated predictive maintenance to cut outages and truck rolls across telecom networks”
Organizations face these key challenges:
1
Unplanned outages triggered by power, cooling, or radio hardware failures with limited early warning
2
Excess truck rolls due to reactive maintenance and low-confidence alarms