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3 Reasons to Add AI to Multi-Cloud Environments

One of the unfortunate byproducts of the digital age is when cloud providers suffer major outages. In such situations, everything from email applications to social networking websites go offline, making even the simplest of technology tasks irrelevant. Even as cloud solutions improve, management of such solutions is still at the will of human error.

Such a future presents a challenge for the collective technology landscape, especially as multi-cloud deployments increase in popularity and organizations require the ability to manage these deployments on a single-pane-of-glass. Likewise, managing many clouds is also a challenge with numerous components in play including on-premises, public cloud, data services, software, security, networks, and other devices.

The Value of AI

One way to bridge the gap in managing multi-cloud environments is through artificial intelligence and machine learning. Since technology systems produce a significant amount of data, such solutions can help an IT department uncover salient information that may indicate a potential outage or barrier to business continuity.  In this post, we explore three reasons why IT departments should add AI to their multi-cloud environments for greater business value.

  • Algorithms for Optimization: Manual management is tedious and suspect to human error. Leveraging machine-learning algorithms on the other hand, brings about the ability to constantly optimize the multi-cloud environment automatically so that the outcomes are predictable. Obviously, the algorithm must be trained to understand the relationship between all of the elements in the environment.
  • Data Management is Key: With significant amounts of data being created, IT must work diligently to ensure that the environment can manage the information coming through. Additionally, there must also be backup and recovery in place in case a system goes down and data is lost.
  • Leverage Natural Language Processing (NLP): Context is very important in IT, especially around errors. With more NLP capabilities available on the market, developers can better determine root-cause analysis and recommend corrective action when something does happen.

With more multi-cloud strategies taking the market by storm, the future theme of IT will be freedom and flexibility. Combined with the right amount of artificial intelligence, including IBM Watson, these systems will maximize their potential and run smoothly, granting organizations the business outcomes they desire.

Learn More

Are you managing multiple cloud deployments for your organization and looking to add more value? Learn more about our cloud and IBM Watson practices by reaching out to for a conversation, and download our hybrid cloud guide below for more guidance around migrating into the cloud.

Learn more about our IBM practice.

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Albert Qian

Albert Qian is a Marketing Manager at Perficient for our IBM PCS, DevOps, and Enterprise Solutions Partners focused on cloud computing technologies.

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