Agenda

AI & Automation

Operational Intelligence at Scale

Efficient Resource Allocation for HFC Plant Repair Using ML-Driven Predictive Intelligence

  • 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

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
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