Microsoft will be Triggering Forced Updates for Systems Running Outdated Windows Versions, Courtesy of the New Machine Learning Algorithms!

When Microsoft said that it would be pushing for forced upgrades on systems running outdated Windows 10 versions, it wasn’t kidding. Just before the public release of the Windows 10 May 2019 Update (v1903), Microsoft announced that systems running Windows 10 April 2018 Update (v1803) or earlier versions would be the first to get affected with this approach.

Microsoft’s official Twitter handle for Windows Update tweeted that training of its machine learning engine has already started. The engine will identify the systems running the outdated versions and when and how to push the latest Update.

According to Microsoft, it’s adopting this approach in order to make sure that its devices get serviced with the latest features, windows and security updates and improvements. It has been known for quite a while now that systems running the Windows 10 April 2018 version will stop receiving security later this year. So, Microsoft’s shift in strategy makes much more sense when this factor is taken into account.

Microsoft’s John Cable explained last month that the forced updates shall be triggered for devices nearing the end of service. Microsoft’s approach will ensure that these devices continue receiving updates and support that will in turn play a key role in keeping them safe and secure.

With the already revealed details, it’s safe to believe that Microsoft’s machine learning algorithms will only affect systems that are running completely outdated systems. It should be noted that the new Windows 10 May 2019 Update was rolled out at a time when the Company was already receiving backlash for the debacle that was the October 2018 Update.

So, significant internal and external testing have been conducted to ensure that this update is reliable. While there have been a number of glitches with it as well, it’s quite normal for every new update and moreover, it is nothing as compared to last year’s botched version.

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