  Wireless networks, in the fifth-generation and beyond, must support diverse
network applications which will support the numerous and demanding connections
of today's and tomorrow's devices. Requirements such as high data rates, low
latencies, and reliability are crucial considerations and artificial
intelligence is incorporated to achieve these requirements for a large number
of connected devices. Specifically, intelligent methods and frameworks for
advanced analysis are employed by the 5G Core Network Data Analytics Function
(NWDAF) to detect patterns and ascribe detailed action information to
accommodate end users and improve network performance. To this end, the work
presented in this paper incorporates a functional NWDAF into a 5G network
developed using open source software. Furthermore, an analysis of the network
data collected by the NWDAF and the valuable insights which can be drawn from
it have been presented with detailed Network Function interactions. An example
application of such insights used for intelligent network management is
outlined. Finally, the expected limitations of 5G networks are discussed as
motivation for the development of 6G networks.
