Artificial Intelligence (AI) has the potential to leverage the immense amount of operational data of clouds, services, and social and communication networks. As a concrete example, AI techniques have been adopted by telcom operators to develop virtual assistants based on advances in natural language processing (NLP) for interaction with customers and machine learning (ML) to enhance the customer experience by improving customer flow. Machine learning has also been applied to finding fraud patterns which enables operators to focus on dealing with the activity as opposed to the previous focus on detecting fraud.

Guest Editorial: Special Section on Embracing Artificial Intelligence for Network and Service Management

Birke, R;
2021-01-01

Abstract

Artificial Intelligence (AI) has the potential to leverage the immense amount of operational data of clouds, services, and social and communication networks. As a concrete example, AI techniques have been adopted by telcom operators to develop virtual assistants based on advances in natural language processing (NLP) for interaction with customers and machine learning (ML) to enhance the customer experience by improving customer flow. Machine learning has also been applied to finding fraud patterns which enables operators to focus on dealing with the activity as opposed to the previous focus on detecting fraud.
2021
18
4
3936
3941
Reinforcement learning; Deep learning; Resource management; Optimization; Real-time systems; Internet of Things; Cloud computing
Lutfiyya, H; Birke, R; Casale, G; Dhamdhere, A; Hwang, J; Inoue, T; Kumar, N; Puthal, D; Zincir-Heywood, N
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1891169
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