  Due to the advancement in technologies, the next-generation wireless network
will be very diverse, complicated, and according to the changed demands of the
consumers. The current network operator methodologies and approaches are
traditional and cannot help the next generation networks to utilize their
resources most appropriately. The limited capability of the traditional tools
will not allow the network providers to fulfill the demands of the network's
subscribers in the future. Therefore, this paper will focus on machine
learning, automation, artificial intelligence, and big data analytics for
improving the capacity and effectiveness of next-generation wireless networks.
The paper will discuss the role of these new technologies in improving the
service and performance of the network providers in the future. The paper will
find out that machine learning, big data analytics, and artificial intelligence
will help in making the next-generation wireless network self-adaptive,
self-aware, prescriptive, and proactive. At the end of the paper, it will be
provided that future wireless network operators cannot work without shifting
their operational framework to AI and machine learning technologies.

Networking and Internet Architecture;Artificial Intelligence