When talk of something called “the Intelligent Cloud” first began, nobody really knew what it was or what to expect from it. Often, even innovative and groundbreaking technologies still have an incubation period before they finally explode in popularity, such as the internet, and the same is expected to happen with respect to the Intelligent Cloud.
Just as the internet became universally adopted around the world within only a few years, so too will the Intelligent Cloud. As a result, it appears that we are on the verge of a massive disruption in the way data is collected, stored, analyzed, and used. In just a short amount of time, the question surrounding the Intelligent Cloud has switched from “What is it?” to “How do we get there?” It may not be possible to fully access the Intelligent Cloud overnight, but there is a phased approach to begin the journey for anybody who is interested in this technology.
Make Preparations for the Cloud
While it might come as a surprise, your first step to transition to the cloud isn’t actually done in the cloud. First, you need to adopt an infrastructure that is capable of dealing with modern workloads and modern threats. Some great options for upgrading your on-premise infrastructure include Windows server 2016 and Microsoft SQL server 2016.
These servers make it easier for you to scale and innovate with tools for increased agile development, increased efficiency in storage, better use of resources, and real-time insights from data. This is especially useful for manufacturing companies.
Construct Hybrid Capabilities
Once you have upgraded your infrastructure, use a strategic approach to decide which workloads you’re going to switch from your on-prem storage unit to the Intelligent Cloud. This is also known as “lifting and shifting” because it lets you take your on-premise investment to the cloud without ever having to leave anything behind.
Once you enter the Intelligent Cloud, you can accomplish much more with your data. Developing new apps and managing your peak demand becomes a much easier and a more agile process than if you were trying to do the same thing just through the use of an on-premise storage center.
Scale and Experiment
You have to be able to easily scale up the ideas that work or move on from the ones that don’t work while learning from the experience. As you create new business processes and applications, you are able to ensure that every bit of enterprise data shared in the Intelligent Cloud is expertly managed and safe.
Once you get your infrastructure moved to the cloud, you’ll soon realize the many opportunities that open up, particularly for manufacturing companies. Instead of spending time with upgrades and maintenance, your teams are able to try out new offerings for employees, customers, suppliers, and partners. This gives your team the ability to branch out with new types of services, platforms, and applications.
Use Your Data to Increase Your Understanding
The more movement you make in the Intelligent Cloud, the more data will be generated, and the more data you’ll be able to access. As you attain a greater understanding of this data, the more value it will provide you with. The correct cloud-based solution makes it very simple for you to take your formerly neutral data and draw actionable insight from it. This is not an endpoint, however, but it is a point to kick off from in order to reach true digital transformation. The cloud has the ability to enable you to change the way you go about bringing value to your business, your customers, and to your other constituents.
If you are currently storing all your data on-premise, then you should consider moving to the Intelligent Cloud because it allows you to analyze your data at a much higher efficiency rate than without it. The number of new features and possibilities available within the cloud will carry your business to the next level.
When it comes to adopting the Intelligent Cloud, the first users will have an advantage over later converts. The strategy for switching to the Intelligent Cloud is simple. It requires you to adapt your on-premise infrastructure first before building hybrid capabilities. The next steps require experimenting with and scaling up your successes, then gaining understanding through your data and using it to continue to improve.