- 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
AI & Automation
Operational Intelligence at Scale
- September 30
- 2:00 PM
- - 3:15 PM
- Full Access Pass Holders
Efficient Resource Allocation for HFC Plant Repair Using ML-Driven Predictive Intelligence
Using AI and Automation to Optimize Critical Facility Operational Efficiency and Improve Reliability
- Exploring the growing challenges in managing critical facilities due to workforce attrition, tech specialization, and data overload
- Discussing how AI and automation can optimize operational decisions in power and cooling systems within critical infrastructure
- Highlighting benefits such as improved energy efficiency, enhanced network reliability, and reduced manual oversight
Topic tags
- Automation, Hybrid Fiber-Coax (HFC), Machine Learning (ML), Reliability, Telemetry
Access
- Full Access Pass Holders
- All timing - Washington, DC