In 2014, Microsoft launched Azure Machine Learning Studio for highly skilled data scientists and developers to be able to create ML models. At the time, it was a big breakthrough but Microsoft still looked to improve services. They decided to work with clients to understand their needs and demands. Today, using an easy drag and drop cloud-based service, data scientists and developers of all skill levels can build on any framework, test outcomes, and deploy Azure ML models in a matter of hours.
Migrating to Azure Cloud has many advantages for businesses including increase in productivity, more flexibility and reduction in IT costs. However, you may be wondering how a business can monitor azure cloud services. Let’s take a look!