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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology. “By

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

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DevOps Theme Team: 2022 In Review And Looking Ahead To 2023

Forrester IT

Happy holidays from the DevOps Theme Team! Our merry band of Forrester analysts covering enterprise architecture, infrastructure, application development, application security, and technology strategy meets periodically to share research, debate trends, and dive into breaking news.

Devops 363
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7 tell-tale signs of fake DevOps

CIO Business Intelligence

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.

Devops 363
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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO Business Intelligence

According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs. Research respondents believe AI will positively impact IT complexity and improve business outcomes.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]