Leveraging AI/ML to Support End-to-End Optimization and Automation

August 17, 2021

Leveraging AI/ML to Support End-to-End Optimization and Automation
Hands of robot and human touching on big data network connection, Science and artificial intelligence technology, innovation and futuristic, AI, Machine learning.

Date: Sep 14, 2021

Date: 14th September
Time: 4pm BST

To cope with the complexity of multiple radio access technologies (2G, 3G, 4G, 5G), multiple spectrum bands and multiple layers of cells, operators need more automated solutions. Self-organizing network technology has evolved to meet this need. Among its many use cases, SON can help reduce energy consumption and defer capex through load balancing. SON solutions have become more intelligent and autonomous, reducing the burden on operations and engineering teams.

Webinar attendees will learn:

  • How the SON concept is being extended beyond the RAN to include core and transport enabling end-to-end optimization

  • How ML can reveal fresh insights to improve network performance and move from reactive to predictive network management

  • How next-generation SON fits into the open RAN architecture, enabling intelligent control

Wei Shi, Intelligence Manager – Telecoms.com
James Crawshaw, Principal Analyst, Service Provider Operations and IT – Omdia
Ehud Riesenberg, Product Director, SON, Telecom, Industry Software Division – HCL
Robert Kennedy, Converged Performance & Analytics Manager – Vodafone

Get the latest news straight to your inbox.
Register for the Telecoms.com newsletter here.

You May Also Like