- Highlighting the challenges of high operational costs and customer impact in maintaining HFC outside plant
- Building a platform that Ingests and analyses historical and real-time network telemetry to establish dynamic baselines for individual customer experience profiles and usage pattern
- Integrating the platform with existing OSS/BSS systems and telemetry sources to collect, correlate, and process location-aware data in real time
- Presenting early field trial results demonstrating improvements in time-to-identify, time-to-resolve, and jobs completed per day
Home » Sessions » Operational Intelligence at Scale » Efficient Resource Allocation for HFC Plant Repair Using ML-Driven Predictive Intelligence
Agenda


Efficient Resource Allocation for HFC Plant Repair Using ML-Driven Predictive Intelligence
- September 30
- 2:30 PM
- - 2:50 PM
- All timing - Washington, DC