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CIOs grapple with the ethics of implementing AI

CIO

What they are finding is that the line between advancing technologically and ensuring AI doesn’t result in detrimental outcomes is thin. To address these issues, establishing an AI review board and implementing an ethical AI framework are critical, Wollersheim says. “An As McIntosh sees it, bias is fundamentally a data problem.

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Agile vs Scrum: Differences & Similarities?—?The Complete Review [2020]

Codegiant

The Complete Review [2020] From the desk of a brilliant weirdo #1 : If you are using Scrum it’s safe to say that you are also using Agile. Testing ?—?In In Agile, during the testing stage, the code is tested to ensure that it’s bug-free and ready for deployment. William Chin, Web Consultant at PickFu.

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6 generative AI hazards IT leaders should avoid

CIO

However, it’s crucial to understand that this technology is a journey, with ample room for growth and development. Many businesses cite copyright as an area of concern (and the FTC appears to agree ); submitting a business plan that looks like it was copy pasted from your competition could be problematic. This distinction is vital.”

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Cloud Leaders Sound Off on Key Challenges

Tenable

When it comes to areas of investment related to deploying technology in the cloud, respondents identified serverless functions, virtual machines and containers as the top three technology types where they plan to expand adoption in the next 12 months. In which of the following areas is your risk exposure the highest?

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Beyond Visibility: Proactive Cloud Workload Security in the Real World

Prisma Clud

Over the last 5 years, our team at Prisma Cloud has witnessed an extraordinary surge in the adoption of cloud-native technologies. As the CTO of Prisma Cloud, I'm thrilled to share our insights and the learnings gained from witnessing the rise of cloud-native technologies and the rapid adoption of the public cloud.

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