Software-defined wide-area networking (SD-WAN) and AIOps are both red-hot technologies. SD-WANs increase application availability, reduce costs and in some cases improve performance. AIOps infuses machine learning into IT operations to increase the level of automation. This reduces errors and enables businesses to make changes at digital speeds. Most think of these as separate technologies, but the two are on a collision course and will give rise to what I'm calling the AI-WAN.
SD-WAN not a panacea for all network woes
SD-WAN is the biggest leap forward in networking since… well, the actual WAN. But many solutions still rely on manual configurations. SD-WANs certainly increase application resiliency, lower telecommunications costs, and often increase application performance, but they are more complicated than traditional WANs. Initial setup can be a challenge, but the bigger issue is ongoing operations. Manually tweaking and tuning the network to adapt to business changes can be time consuming and error-prone. A solution is needed to bring better automation to SD-WANs.
Thanks to Zeus Kerravala (see source)