Andy Odgers to present at fourth annual Carrier Network Virtualization Conference / MEC Congress USA
“There’s a growing acknowledgement that edge computing will be a key ingredient of 5G networks,” says Andy Odgers. “But while 5G needs MEC, the reverse is not true: MEC doesn’t require 5G. The technology is deployable today. Operators who recognize the potential can rapidly generate extra revenue in areas like healthcare and enterprise networking. Equally, the advent of MEC represents a massive opportunity for “challenger” communications service providers and integrators. And there’s an important role for developers – including those outside the traditional cellular ecosystem – who can envision and build applications and services that will appeal to 21st Century communications users.”
Andy will be giving three presentations at the event, two on behalf of Quortus, and one speaking on behalf of the ETSI MEC Industry Specification Group:
- Quortus: From mobile to multi-access: edge computing principles and use cases
- When: Wednesday 7th December 3:25pm
- ETSI: Looking Ahead: The next two years of ETSI MEC ISG
- When: Thursday 8th December 9:30am
- Quortus: Putting MEC to Work: Use cases and technology developments
- When: Thursday 8th December 2:50pm
More details are available at https://www.quortus.com/news-and-events/events/carrier-network-virtualization—mec-congress-usa, and from the event website.
Quortus enables flexible, agile mobile communications networks that provide a foundation for innovative services tailored to a diverse range of end customers. Its award winning EdgeCentrix (ECX) virtualized mobile core solutions help increase operator margin and ‘stickiness’. They interwork gracefully with existing mobile networks, with small cell and HetNet architectures and with standard IT infrastructure, to create truly integrated communications platforms. Quortus’ ECX products are highly scalable and can be hosted anywhere – in the cloud, at the network edge, or deeply embedded alongside a cellular radio in a single-chip implementation.