Reducing Preventable Service Visits with GenAI: Altice and Palantir
- Using AI, ML and data modelling to drive a data-driven approach to site visits
- Unlocking new ways of closing feedback cycles faster and more efficiently
- Lessons learned: Evaluating troubleshooting tools in real time, responding to changes in a more agile way
Gavin Mitchell
VP Product Quality Assurance
Altice USA
Causality for Customer Experience Anomalies with Real-Time vCMTS Telemetry and Machine Learning
- Utilizing machine learning techniques for root cause analysis
- Developing techniques to pinpoint the root cause behind anomalies detected
- Determining the extent to which automation can eliminate network monitoring boundaries beyond software upgrades
- Examining the future potential of ML to run in real time and integrate with existing monitoring tools at scale
Ilana Weinstein
Data Scientist
Comcast
Customer Experience-Centric Network Investment and Interventions Through AI
- Implementing an AI-driven approach to prioritize a shift towards a more customer-centric network management strategy
- Moving beyond traditional KPIs allowing for strategic network intervention prioritization to reduce customer interactions and churn
- Using AI classification models for HFC and FTTH networks to predict which customers are likely to seek technical support
- Creating a blueprint for telcos to ensure investment strategies and network upgrades are directly aligned with improving the customer experience
Juan Rodriguez
AI and Advanced Analytics Sr. Director
Liberty Latin America
