Can Microsoft's new Azure cloud service Create a new future

At the beginning of the new Year of 2014, Microsoft's CEO, Nadra, also gave Microsoft a fresh atmosphere. In his first 100 days as Microsoft's CEO, Nadra helped Microsoft accelerate its shift to cloud computing, setting the "Move first, cloud first" strategy. In early April, the change in cloud computing operating system Windows Azure, renamed Microsoft Azure,azure brand name, represented Microsoft's new strategy and focus on Azure, while also reflecting Microsoft's emphasis on cloud computing.

Two days ago, Microsoft, the world's largest software provider, published its cloud-based, large data/analysis solution to help companies anticipate the future and plan ahead to improve the chances of achieving the desired results. The solution has been brewing within Microsoft for some time.

Specifically, the solution is Microsoft Azure Machine learning (Microsoft Azure Machine Learning) service-AZUREML, which helps companies to make high-level analysis of large data to predict the future and take action accordingly.

Learn About Microsoft Azureml

In this case, Azure fully embodies the charm of the cloud, and it changes everything, especially when it is used with new analytics tools and powerful algorithms such as Microsoft's algorithm for its own Xbox and Bing.

Microsoft's AZUREML design is designed to make it easier for people to make predictive analysis. At the same time, the creation of AZUREML is also convenient for collaboration, making it easier for more people to participate.

Large data and predictive analysis of democratization

When Azureml is released next month, business analysts may find themselves able to produce the same insights, with the same degree of reliance, when they are equivalent to data scientists.

In addition, Microsoft partners have access to their SDK (software Development kit) so that they can build industry-specific production models in the short term.

From data to actionable insights to reduce waste and get bigger profits

Everyone knows that "knowing your customers" is crucial to growing sales and making the right inventory, but will it affect people's buying of furniture as well as the impact of buying time?

As we all know, it is expected that the next customer will buy what is the key to profit, and no one wants to keep the expensive inventory.

Predictive analysis is the way to solve this problem, but also suitable for other situations, such as predicting virus outbreaks and reducing energy consumption.

Microsoft brings data-driven divination

I already know that Microsoft is aiming to bring more powerful data to billions of users. Now we know more clearly that they are planning to bring strong predictive analysis to a large number of child users.

If the things behind the front end work are the same as the UI, then they might be successful. Indeed, it looks better and easier to use than any of its peers.