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What does an AI consultant actually do?

CIO

They have to take into account not only the technical but also the strategic and organizational requirements while at the same time being familiar with the latest trends, innovations and possibilities in the fast-paced world of AI. However, the definition of AI consulting goes beyond the purely technical perspective.

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Why generic marketing approaches don’t work on software developers

TechCrunch

“Most of the technical content published misses the mark with developers. The book title is a call to these marketers to treat their technical audience differently. If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Image Credits: Adam DuVander.

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IT leaders’ AI talent needs hinge on reskilling

CIO

Companies should be proactive about acquiring AI talent, using both training programs with their current employees and hiring programs to attract outside experts, he advises. That mix of technical and soft skills is another factor shaping the shift toward reskilling for AI. Reskilling employees is a crucial step, he adds. “In

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CIOs confront generative AI’s workplace X factor

CIO

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.

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Rethinking the IT talent pipeline

CIO

Amanda Merola had zero technical background when she came to The Hartford in 2015, despite a natural interest in computers and a proclivity for problem-solving. You used to be able to buy people or rely on the education system to pull people through so there was a ready supply of trained technical people.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

But, notes Lobo, “in all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

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The rise of the data lakehouse: A new era of data value

CIO

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. To others embarking on a similar journey Guadagno advises, “Put all your data in the lakehouse as fast as possible.

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