For enterprises that were first to adopt the cloud, it is now becoming commonplace. They aren’t figuring out the cloud anymore. They’ve moved in and have already been seeing the benefits of making the shift. These organizations have implemented the cloud, partnered with the right vendors, begun storing data, running apps and they are ready for the next big step.

Enterprises realize that the massive loads of data they are storing can provide real insights into their consumer base, which can be used to better serve them. The problem is it would take a lot humans and time to quickly and efficiently understand all this information. Machine learning, or the use of algorithms to automate pattern recognition, allows software to interpret the data enterprises have collected to understand what the information means, and even what actions to take. With the information flowing through the cloud, organization can predict the needs of consumers, tailor campaigns, adjust product offers, and so on. With machine learning, the cloud be used to create more value for companies and their customers.

Take a look at these articles that discuss this topic in depth:

Machine Learning is Redefining the Enterprise in 2016 by Louis Columbus

Louis Columbus talks machine learning in various industries in a recent Forbes article. Columbus explains that with machine learning, years of data can be turned into a competitive advantage and drive revenue with marketing promotions, campaigns and rebates across channels. He also shares how different industries are using machine learning to advance their businesses.

Machine learning is being adopted by enterprises more and more with the ability to collect, evaluate and respond to a wide range of data. The algorithms that are used can self-correct and re-learn appropriate responses and actions. Columbus goes on to describe the change in data used through cloud computing, Internet of Things (IoT) and other computing abilities that are now demanding the use of machine learning to evaluate the information.  

Google says welcome to the Cloud 2.0 by Sharon Gaudon

Amazon Web Services might be the leading cloud provider, but Google plans to take over in the data analytics space. In her ComputerWorld article, Sharon Gaudon discusses senior vice president for Google’s cloud business Diane Greene’s position on the company taking data and analytics from the cloud and providing insights on what can make businesses even better. This is what she calls Cloud 2.0.

Greene states, “It’s just a given now that you have a more cost-effective and reliable way of computing,” Greene told Computerworld during Google I/O last week. “The 2.0 of the cloud is the data and understanding the data. Now that you’re in the cloud, how do you take advantage of it so your business can operate at a whole new level.”

Machine Learning for Your Cloud Too

DivvyCloud uses machine learning in the form of Cloud Automation Bots. As an active policy enforcement platform, DivvyCloud works on-premise to monitor and self-heal the cloud infrastructure. For enterprises that are spinning up hundreds, thousands, or even hundreds of thousands of instances (and related virtual resources), ensuring compliance, security and cost savings is too big of a job for any human or team of humans to manage. These Bots automate responses to compliance issues and immediately remediate discrepancies. By teaching the Bots what violations to look for and how to resolve them, enterprises can guarantee the operation of their cloud is not leading to vulnerabilities that could result in breaches, unknown expenses or sprawling shadow IT.

Together, machine learning and a sound cloud infrastructure can help businesses take a more targeted and accurate approach to their operations. The questions is no longer “should we go to the cloud.”  The new question is “what can we learn from the data in our cloud(s) about our business and our customers.”

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