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Will AI Replace Humans?

Analytics Vidhya

Introduction As we all know, AI has been taking giant leaps forward, captivating the imaginations of scientists and the general public alike. The news and social media are flooded with remarkable advancements in AI technology. appeared first on Analytics Vidhya.

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Will AI Replace Humanity?

KDnuggets

Let’s discover whether AI is truly intelligent and has the potential to supersede humans.

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Fearing the Wrong Thing

O'Reilly on Data

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Some companies will certainly value AI as a tool for replacing human effort, rather than for augmenting human capabilities.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Global banks and investment firms are currently mulling plans to replace entry-level financial analyst positions with artificial intelligence (AI), with as many as two-thirds of these positions potentially on the chopping block.

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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. But 35% also said they felt cautious about AI, 26% skeptical, and 25% uncertain.

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The Real Problem with Software Development

O'Reilly on Data

We also see this phenomenon as one application replaces another. We’re seeing more code that’s written (at least in first draft) by generative AI tools, such as GitHub Copilot, ChatGPT (especially with Code Interpreter), and Google Codey. A few weeks ago, I saw a tweet that said “Writing code isn’t the problem.

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CIOs confront generative AI’s workplace X factor

CIO Business Intelligence

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.