A fully operative and efficient 5G network cannot be complete without AI. ML and AI integration into the network edge can be achieved through the use of 5G networks. 5G enables simultaneous connections to multiple IoT devices, generating massive amounts of data that must be processed using ML and AI.
When ML and AI are integrated with 5G multi-access edge computing (MEC), wireless providers can offer:
High automation levels from the distributed ML and AI architecture at the network edge
Application-based traffic steering across access networks
Dynamic network slicing to address different scenarios with varying quality of service (QoS) requirements