Communications networks are perhaps the most complex machines on the planet. They use vast amounts of hardware, rely on complex software, and are physically distributed over land, underwater, and in orbit. They increasingly provide essential services that underpin almost every aspect of life. Managing networks and optimising their performance is a vast challenge, and will become many times harder with the advent of 5G. The 4th Annual CW Technology Conference will explored this challenge and how Machine Learning and AI may be applied to build more reliable, secure and better performing networks.
Is the AI community aware of the challenges facing network providers? Are the network operators and providers aware of how the very latest developments in AI may provide solutions? The conference aimed to bridge the gap between AI/ML and communications network communities, making each more aware of the nature and scale of the problems and the potential solutions.
This one day conference, held at the University of Cambridge Computer Lab on September 27th 2018, was aimed at data scientists and network engineers in universities, infrastructure suppliers, and software providers.
About the conference
The annual CW TEC provides a vibrant and dynamic form for harnessing knowledge, driving lively debate and networking at a senior level. It offers a more low-level, technical and focused agenda than the International Conference, exploring an emerging problem space that the CW community has highlighted as being particularly worthy of debate. Past event topics have included quantum computing and the impact on spectral value of mobile, satellite, TV, IoT and wearable technologies. The conference format and agenda is driven by the CW membership.
