There is no doubt AI can be used for many things; examples already range from identifying cats in images, to self-driving cars, and beyond.
It seems as if you have enough data, you can apply AI and learn new things about it. If there is one thing technological advances has provided, it is more data, and beyond that, more data sources.
This is also true for networks, and this event will provide answers to the question "What do you get when you apply artificial intelligence/machine learning to problems in the networking domain?"
Join us April 2nd and learn what network operators, researchers and others in the networking industry have already been using AI for, what they think AI can help with and what they want to apply it to next.
We will explore how AI can be used for predicting path loss in mobile communication systems, how analytics get a boost and provide more insight when AI is involved, and more!"
11.30 – 12.00 Registration and networking sandwich
12:00 - 12:05: Welcome
12:05 - 13:00: "Advanced Microwave Insights - a real-time, AI-enhanced toolbox for cost efficient management of large microwave networks", Jonas Hansryd, Head of Microwave and mmW Hardware Research, Ericsson
13:00 - 13:30: "AI Powered Analytics in wireless links" v/ Glenn Landgren, Transmission Manager, 3 Danmark
13:30 - 14:15: "Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems" v/ Jakob Thrane, Ph.D Student, DTU
14:15 - 15:00: "Strategic Information Systems in Telecommunications", v/ Jose Gutierrez, Vimento