Artificial intelligence paradigm for customer experience management in next-generation networks: Challenges and perspectives

H Gacanin, M Wagner - Ieee Network, 2019 - ieeexplore.ieee.org
H Gacanin, M Wagner
Ieee Network, 2019ieeexplore.ieee.org
With the advancements of next-generation programmable networks, traditional rule-based
decision-making may not be able to adapt effectively to changing network and customer
requirements and provide an optimal customer experience. CEM components and
implementation challenges with respect to operator, network, and business requirements
must be understood to meet required demands. This article gives an overview of CEM
components and their design challenges. We elaborate on data analytics and artificial …
With the advancements of next-generation programmable networks, traditional rule-based decision- making may not be able to adapt effectively to changing network and customer requirements and provide an optimal customer experience. CEM components and implementation challenges with respect to operator, network, and business requirements must be understood to meet required demands. This article gives an overview of CEM components and their design challenges. We elaborate on data analytics and artificial intelligence driven CEM and their functional differences. This overview provides a path toward an autonomous CEM framework in next-generation networks and sets the groundwork for future enhancements.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果