Microsoft's SoftNER AI uses unsupervised learning to help triage cloud service outages

Microsoft is using unsupervised learning techniques to extract knowledge about disruptions to cloud services. In a paper published on the preprint server Arxiv.org, They claim it eliminates the need to annotate a large amount of training data while scaling to a high volume of timeouts, slow connections, and other product interruptions. Structured information has inherent value, particularly in the high-stakes cloud and web operations domains. Not only can it be used to build AI models tailored to tasks like triaging, but it can save time and effort for engineers by automating processes like running checks on resources.