Building an Open Cloud Strategy

“Choices made, whether bad or good, follow you forever and affect everyone in their path one way or another.” –J.E.B. Spredemann, An Unforgivable Secret

For several years now, one of the most used words in the last couple years in every IT organization has been “cloud”. Why? Because using or providing “cloud” services is one of the main objectives for CIOs and CTOs across the globe. 

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Key Considerations of an Effective Cloud Strategy

A survey conducted by Red Hat among its customer base found that two thirds, or 70 percent, of respondents cited cloud infrastructure to be a top funding priority of 2017. On top of that, 52 percent of organizations stated that cloud strategy will be the main focus of their IT spend in the upcoming year. While it is true that infrastructure can easily be seen as the boring underbelly of IT, it is also true that streamlining and fortifying the foundation of any IT ecosystem via a solid and effective cloud strategy can be crucial to business objectives. An effective cloud strategy involves a few thinking points before one can dig into the work at hand. In the first webinar of a five-part Private Cloud Blog Series, Red Hat’s Stephane Lefrere and Matt Nolan discuss many initial and critically important thinking points in Key Considerations of an Effective Cloud Strategy. Below is a quick recap of the webinar. You also can rewatch it here and sign up for the next ones here.

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Red Hat continues partnership with edX.org with release of new Fundamentals of Containers, Kubernetes, and Red Hat OpenShift course

Following the initial release of the free Red Hat Enterprise Linux course on edX, Red Hat Training and Certification ramped up to continue adding courses to the platform. Founded by MIT and Harvard, edX is the only leading provider of massive open online courses that is both nonprofit and open source, making it a great platform to align with Red Hat’s open source culture.

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Why Machine Learning and Artificial Intelligence Are Necessary To Achieve A Mature Digital State

In my previous post The Role of Artificial Intelligence and Machine Learning in Digital Transformation, I provided an introduction to Machine Learning (ML) and Artificial Intelligence (AI). In this post, we will build on that knowledge and take a look at why they are necessary capabilities in order for an organisation to reach a mature digital state.

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