How Microsoft Uses Machine Learning To Improve Windows 10 Upgrades -- Redmond Channel Partner

Microsoft has explained before that it uses PC "telemetry" information and machine learning to assess the readiness of PCs for Windows 10 feature upgrade releases, which arrive twice per year. In a blog post this week, Microsoft data scientists Archana Ramesh and Michael Stephenson expanded on how the company uses machine learning algorithms to ensure those feature upgrades are rolled out successfully at organizations. Background A Windows 10 feature upgrade essentially replaces the underlying operating system's bits with a new OS version. The process is called an "in-place upgrade." However, there are lots of potential issues that can arise with each OS upgrade, given the variations in hardware, drivers and software that exist, as well as flaws that may be present in the upgrade itself. Some Windows 10 upgrade releases have been minor disasters.