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The Significance of Open Source Software in the Digital-First Future Enterprise

CIO Business Intelligence

As per the recent IDC InfoBrief “The Significance of Open Source Software in the Digital-First Future Enterprise”, open source software (OSS) is an important driver of enterprise digital innovation and provides greater agility, performance and security compared to proprietary software.

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IBM doubles down on hybrid cloud with $6.4B HashiCorp acquisition

CIO Business Intelligence

Every company is trying to see how AI can help automate processes> That is where I see this acquisition is fitting right into IBM’s scheme of things because IBM has a lot of AI-related order books already confirmed, so instead of getting into tool and applications development, the acquisition makes a good sense here.”

IBM 128
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Flexagon recognized in the Forrester Wave ISDP

Flexagon

Forrester conducted a 26-criterion evaluation of each Integrated software delivery platform provider to measure and help modern application development leaders and DevOps platform team leaders select the right one for their needs.

SAP 78
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Modernizing the mainframe for the digital era

CIO Business Intelligence

The first is to run transaction-intensive banking applications, including bank statements, deposits, mobile banking, debit-card processing, and loan payments. The second is to host mobile applications, containers, and artificial intelligence (AI) applications — what Sonnenstein calls “acting as a full-fledged member of the modern universe.”.

IBM 144
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Where do IT leaders stand on securing the mainframe?

CIO Business Intelligence

According to a recent survey by Rocket Software, 51% of IT leaders indicated that they run either all or the majority of their core business applications on the mainframe. The insights and data generated by Rocket Software’s research make it clear that leaders understand that reality, but there’s still work to be done.

Security 114
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How Developer Observability is Transforming Dev Role

Hacker Earth

As we embrace the reliability, agility, and innovative potential of the multi-cloud environment, observability in DevOps grows more critical. Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. to analyze capabilities correctly.

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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

But despite all the money flowing into ML projects, most organizations are struggling to get their ML models and applications working on production systems. . The market researchers at Gartner say that “Only half of AI projects make it from pilot into production, and those that do take an average of nine months to do so.”.

Dell 130