Bridging DevOps, data science and business outcomes in a software-defined world

Bridging DevOps, data science and business outcomes in a software-defined world

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While the general advancement of enterprise software is often thought of as the marrying of software development and data stacks, a third consideration is essential to driving tangible advancement.

“You’ve got to think about not just the software developer or the data scientist, but also there’s a line of business in there that’s saying, ‘Here are the business outcomes I’m looking for,’” said Chris Wright (pictured), senior vice president and chief technology officer of Red Hat Inc. “It’s that trifecta that has to come together to make advancements and really make change in the business.”

Wright spoke with theCUBE industry analysts Dave Vellante and Paul Gillin during the Red Hat Summit event, an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed emerging enterprise technologies and how to realize the full potential of tech. (* Disclosure below.)

Software, especially open source, is ‘eating the world’

It’s no news that software is inalienable to our current economic landscape. But from the DevOps to AIOps, several technical challenges occasionally resurface.

“It’s the entire workflow and platform of how you share the data, the data training models and deploying models into a runtime production environment,” Wright explained. “That looks similar to software development processes, but it’s slightly different. So, that’s where a common platform can help bridge the gaps between the developer world and the data science world.”

Red Hat is doing its part to address these issues with offerings such as aggregators, distribution tools, and the provision of flexibility to its developer userbase. And there are also data governance challenges, predominantly around machine learning and artificial intelligence bias. Red Hat is helping to remedy the technical parts of this issue, according to Wright.

“There are a lot of open questions there and academic research to try to understand how you can ferret out biased data and make it less biased or unbiased. Our role is really just bringing the toolset together so that you have the ability to do that as a business,” he concluded.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Red Hat Summit event:

(* Disclosure: TheCUBE is a paid media partner for Red Hat Summit. Neither Red Hat Inc., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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