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Artificial Intelligence – A Guide for Thinking Humans

Henrik Warne

I really enjoyed reading Artificial Intelligence – A Guide for Thinking Humans by Melanie Mitchell. The author is a professor of computer science and an artificial intelligence (AI) researcher. Even though it is aimed at general readers, I found it to be very good in technical content.

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How Tech Leaders Are Using AI to Solve 10 Procurement Challenges

CIO

Thats why tech leaders need solutions now, not months from now. Thats an eternity in tech terms ; by the time a deal is signed, market conditions may have changed, new competitors emerged, or the solution itself evolved. See also: How AI is empowering tech leaders and transforming procurement. )

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What is an IT consultant? Roles, types, salaries, and how to become one

CIO

Among the recent trends impacting IT are the heavy shift into the cloud, the emergence of hybrid work, increased reliance on mobility, growing use of artificial intelligence, and ongoing efforts to build digital businesses. As a result, for IT consultants, keeping the pulse of the technology market is essential.

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Not your father’s avatar: The real future of artificial intelligence

CIO

Generative artificial intelligence (genAI) is the latest milestone in the “AAA” journey, which began with the automation of the mundane, lead to augmentation — mostly machine-driven but lately also expanding into human augmentation — and has built up to artificial intelligence. Artificial?

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What underscores, and undermines, a successful CIO-CEO collaboration

CIO

Gabriela Vogel, senior director analyst at Gartner, says that CIO significance is growing because boards rely more on trusted advice on technologies like AI and their impact on investment, ROI, and the overall business mission. For me, it’s evolved a lot,” says Íñigo Fernández, director of technology at UK-based recruiter PageGroup.

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Agentic AI design: An architectural case study

CIO

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. These agents are already tuned to solve or perform specific tasks.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. While useful, these tools offer diminishing value due to a lack of innovation or differentiation. Technical restrictions and solutions LLMs have certain technical limitations.