Microsoft builds a system to predict the future

The system that Microsoft is aiming for is able to predict malfunctions in devices and buildings before the problem occurs.

To do this, Microsoft released a machine learning tool (a term of artificial intelligence) based on a cloud platform called Azure ML. The beta version of this tool will be released in July.

This is one of the first achievements that Microsoft CEO Nadella wants to demonstrate his ability to research and develop online services for the company. He said that Microsoft has embedded predictive machine technology into Bing's search engine to provide answers related to user queries.

The beta version of Azure ML allows users to experience the technology every time they log in to the service. This cloud platform is expected by Microsoft to significantly reduce its ability to predict the future.

According to Microsoft, future smart devices will rely heavily on the cloud platform, and it is an opportunity for the company to create a tool that is responsible for collecting data to deliver the best response. for the real world.

Joseph Sirosh, who is in charge of the Azure ML array, for example that a built-in sensor elevator will help maintenance engineers track them and predict when problems may occur to make plans. overcome. This will also apply to car maintenance activities to help identify errors in vehicles early. But according to Sirosh, to be able to do this will need to build a software system, and that's the reason to use Azure ML.

According to Sirosh, scientists in the past have created machine learning models to create very sophisticated systems, but many have been left in the process of data synthesis. But with Azure ML, everything will be handled in a very sophisticated way.

Currently, Carnegie Mellon University is also interested in Azure ML to help reduce energy costs on campus buildings by predicting and mitigating operational capabilities to reduce overall energy costs. .