Agenda

AI & Automation

Harnessing AI to Improve Network Reliability

Smart Network: Graph-Based Network Analysis, Event Detection, and Outage Simulation 

  • Understanding the importance of real-time end-to-end visibility of the network footprint to monitor the health of the network and traffic flow
  • Creating a blueprint by combining network topology with real-time device telemetry
  • Exploring how to leverage graph algorithms to enhance the robustness, scalability, and intelligence of the network infrastructure

Nivedhitha Sridhar
Data Scientist 
Comcast

Predictive Framework for Enhanced Wireline Network Reliability: Unveiling Anomalies and Streamlining Maintenance          

  • Enhancing network reliability and performance by developing a framework to predict wireline network failures
  • Creating a tool with actionable insights to prioritize node maintenance and facilitate field maintenance technicians
  • Evaluating operational benchmarks and KPIs to conducting root cause analysis and predict the future state of the network
  • Using the framework to enable the effective allocation of resources and enhance overall efficiency of network operations

Madiha Sahar
Presenter
Rogers Telecommunications Inc.

Alarm Root Cause Analysis Using AI/ML in MSO Networks           

  • Balancing resources to investigate and manage networks
  • Implementing AI/ML techniques to suppress alarms, locate and partition the root cause of an alarm storm with high accuracy 
  • Reducing time-to-solution to increase customer satisfaction and network reliability

Jonathan Kwan
Product Line Manager
Fujitsu

Moderator
Damian Poltz
Senior Vice President, Wireline Networks
Rogers Communications

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