3 Use Cases for Machine Learning Within SD-WAN Lanner

WAN optimization is one of the most commonly put forward ways in machine learning could be applied to SD-WAN. In theory, machine learning would, perhaps using some form of topology optimization, be able to analyse network branch traffic and work out the most appropriate connection for traffic of its type available at the time. Machine learning algorithms could then also be used to automatically route the traffic down the selected connection. There are currently models of WAN optimization technologies being worked on that shift traffic while taking into account security requirements, costs, and the application's attributes. It is hoped that, as machine learning and WAN path optimization technologies are refined and improved, they will eventually lead to increasingly intelligent and automated traffic optimization becoming a standard within SD-WAN solutions.