In today?s column, I?ll be diving into the new 5G core net-work architecture and components description.

The key driver of 5G is the Internet of Things (IoT). And of course existing smart phone services and applications will get faster and more feature rich moving to 5G.

The advanced 5G features and capabilities for IoT, intelligent edge, and AI/IVR are very real and attention should be paid to 5G network architecture in order to take advantage.

Machine learning belongs at the edge and Qeexo is developing solutions to do just that.

There has been a lot of focus on taking a data oriented approach to IoT systems. This approach makes a lot of sense given the nature of IoT and the foundational component of the system is the data.

Devices must be connected. Devices must perform their function reliably, but also provide metrics to back end equipment for analytics, machine learning, and business intelligence.

Problems revolve around protecting IoT devices and scaling the security across millions and billions of devices encompasses far more than encryption and device security.