Intelligence at the Edge

• Utilizing edge AI and inferencing fot real-time impairment detection for hybrid fiber coax (HFC) systems
• Deploying intelligent edge devices with on-edge artificial intelligence capabilities to continuously monitor network parameters in real-time to enable immediate detection and classification of anomalies
• Lessons learnt –to what extent can a distributed AI architecture identify impairments that conventional methods miss?

• Defining the end-to-end value chain of AI device architectures including pros and cons for the consumer, Service Provider and AI ecosystem
• Examining the potential for 70%+ of all AI requirements to be handled by Home based Service Provider devices with new Small or Medium Language model capabilities
• Mapping AI use cases across the hierarchy, illustrating where they add value through revenue generation or cost savings
• Reviewing the challenges and technology requirements for the next 5 years as this new architecture evolves 

Technical paper presentation.

• Exploring the potential of agentic AI  to transform network operations across Wi-Fi, in-home networks, access networks and field operations
• Using AI to improve performance in access networks through predictive analytics and real-time tuning
• Examining AI-driven advancements in field operations,  predictive maintenance, remote diagnostics and guided repairs to enhance overall customer experience and network resilience