Global Big Data Conference

#artificialintelligence 

Complexity is driven in part by 5G itself, which uses a much broader set of frequency bands, can prioritize services based on latency, and supports huge increases in the number of network elements and end-user devices. But there is a plethora of other changes which further increase complexity. These include the evolution from physical hardware to virtual and cloud native networks, end-to-end network slicing, the adoption of Open Radio Access Network (RAN) technologies and the addition of new enterprise business services. There are also multi-technology networks with some communications service providers (CSPs) running 2G, 3G, 4G/LTE and 5G networks in parallel, as well as multi-vendor networks with typically two to four different RAN vendors deployed in the network. Artificial intelligence (AI) and machine learning (ML) are becoming commonplace in the telecoms industry and are often the only way to manage the complexity we see in today's multi-vendor, multi-technology networks.