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10 things to watch out for with open source gen AI

CIO Business Intelligence

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.

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

CIO Business Intelligence

As companies shift their focus from the digital transformation of individual processes to the business outcomes enabled by a digitally transformed organisation, software engineering will become a core enterprise capability. 61% of respondents rated the performance of OSS as being superior compared to proprietary software.

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Why Modernizing Mainframe Development Needs Secure Open Source

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software According to a recent Rocket Software survey , 80% of IT professionals categorize the mainframe as critical to their business. One technology that modern mainframes need is secure open-source software. Read on to learn more about why modern mainframes need secure open source.

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Aiven: 91% of developers say open source is in their future

Venture Beast

91% of software developers expect open source to be a part of their organizations in years to come, accourding to a recent Aiven survey. Read More.

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Bias in AI isn’t an enterprise priority, but it should be, survey warns

Venture Beast

Bias in AI is the biggest enterprise challenge, according to a recent Anaconda survey, but few organizations are correcting it. Read More.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

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Is AI in the enterprise ready for primetime? Not yet.

CIO Business Intelligence

There are a number of reasons why meaningful AI deployments within the enterprise will take longer than many imagine. AI hallucinations The problem of AI hallucinations, where a large language model (LLM) presents authentic-looking but made-up results, shouldn’t be underestimated for enterprise AI deployments.