Methods of applying artificial intelligence in software-defined networks




artificial intelligence, enterprise networks, SDN, Smart Grids, transport networks, UAV networks


This work is devoted to the review of artificial intelligence application methods in enterprise networks using SDN technology. The paper examines the features and methods of using AI in these networks, as well as identifies potential problems that may arise.

The paper provides an overview of the main features of AI in enterprise SDN networks. AI has been found to automate many processes in the network, such as routing, monitoring, bandwidth management, and more. Using AI helps improve network efficiency, reduce costs, and improve security.

Potential problems that may arise when using AI were also highlighted. In particular, questions arise regarding data security and privacy, as well as ethics and responsibility for the actions of AI-based systems.

In general, the work puts forward the idea of using artificial intelligence in enterprise networks using SDN technology to improve network efficiency and ensure security. The methods of applying AI in these networks are reviewed, potential problems are identified, and prospective directions of research are outlined.

This work provides an overview of the features and capabilities of AI in enterprise SDN networks, and also lays the foundation for further research in this area. The implementation of artificial intelligence in enterprise networks is an urgent task, as it helps to improve the efficiency and security of networks and opens up new opportunities for their development.


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