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Are You On An Agile+DevOps Journey? Don’t Miss Out On Continuous Testing Services!

Forrester IT

The most dangerous parallel initiatives are those where, on one side, they are changing their development teams to become more Agile, but a separate initiative in the same enterprise exists where their Operations folks are running a development and operations (DevOps) transformation. Read more Categories: Agile. Agile Testing.

Devops 308
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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.

Devops 358
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Intel Shares Its Transformation Strategy at DevOps World

Information Week

Changing human behavior and leadership support were integral to driving a more agile approach to software and firmware development.

Devops 411
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Product-based IT: 6 key steps for making the switch

CIO Business Intelligence

Past shifts to agile methodologies helped as teams now had a product owne r to prioritize backlogs and adopted agile principles that empowered them to commit to a realistic amount of work. But many enterprises stopped their agile transformations at this layer.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky.

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

Network World

“Gen AI-driven application modernization tools are revolutionizing mainframe modernization strategies, accelerating time to value, and closing mainframe skills gaps by enabling developers to modernize or build applications faster and more efficiently,” the study stated.

IBM 468
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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] The solutionGenAIis also the beneficiary.