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TechCrunch+ roundup: Technical due diligence, web3’s promise, how to hire well

TechCrunch

One of my favorite examples is in the first Harry Potter movie, when Hagrid takes Harry to Diagon Alley, the magical shopping district that introduces him (and us) to the world of wizarding. So far, web3 has not paid off on the Promise of the Premise : open source software that runs live on the blockchain. cloud servers.”

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Low-code: An Accelerator for Digital Transformation

CIO

Digital transformation is expected to be the top strategic priority for businesses of all sizes and industries, yet organisations find the transformation journey challenging due to digital skill gap, tight budget, or technology resource shortages. Amidst these challenges, organisations turn to low-code to remain competitive and agile.

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Lessons from the field: How Generative AI is shaping software development in 2023

CIO

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. It helps increase developer productivity and efficiency by helping developers shortcut building code.

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Low code/no code tools reap IT benefits—with caveats

CIO

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. So there’s a lot in the plus column, but there are reasons to be cautious, too.

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When your AI chatbots mess up

CIO

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete.

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Google expands program to help train the formerly incarcerated

TechCrunch

Last April, Google launched Grow with Google Career Readiness for Reentry, a program created in partnership with nonprofits to offer job readiness and digital skills training for formerly incarcerated individuals. For example, U.S. ” Meanwhile, Google.org, Google’s charitable arm, will provide $4.25

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