AI & Automation

Making the Most of AI in Broadband Networks

A Telecommunication Engineer’s Guide to Applied Artificial Intelligence      

  • Developing an optimal strategy to deploy AI: What AI technologies are viable?
  • Identifying optimization opportunities and efficiencies whilst pinpointing potential roadblocks
  • Navigating the implementation process and ensuring you have the data needed for effective models and successful solutions

Roy Pereira
Application Development BSS | Digital Service
Cox Communications

A Beginner’s Guide to Network Automation for FTTH Networks

  • Getting back to basics: What cultural shifts are needed to build an organization and mindset that embraces automation?  
  • Implementing best practices to kick-start your automation journey: Skills, collaboration, KPIs, training
  • Exploring tools, methodologies, architectures and functionalities to ensure a successful roadmap for network automation

Marco Gagliostro
Manager, PON Technology and Enterprise Network Operations
Rogers Communications

Edge Intelligence: Enabling Distributed ML Applications in Cable Networks

  • Understanding how to facilitate distributed edge intelligence on DOCSIS network equipment, cable modems (CMs) and gateways
  • Exploring the potential of extending edge intelligent to other devices (distributed access architecture (DAA nodes or amplifiers)
  • Developing an architecture to support this deployment model
  • Implementing security mechanisms and APIs to enable functionality

Karthik Sundaresan
Distinguished Technologist & Director of HFC solutions

Jennifer Andreoli-Fang
Senior Manager, North America Telecom, Service Providers Cloud Architecture

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