Tuesday, 1 February 2022

Day 39: Quality Support System

How do you know when things are going to go wrong? This is difficult, but if you have the right data and you use it in the right way, it is entirely possible to predict service failure before it happens.

I am developing a framework, which will use Machine Learning (a branch of Artificial Intelligence) to predict when things will go wrong with a service.

My aim is to be able to provide enhanced support to the service before the impact of things going wrong starts to have a detrimental effect on outcomes for users of the service and staff.

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