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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. There are data scientists, but theyre expensive, he says.

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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

Registered investment advisors, for example, have to jump over a few hurdles when deploying new technologies. At Emburse, an expense reimbursement company, software developers use code generation tools like Github Copilot and Amazon Q Developer, which integrate directly into developer environments, says Ken Ringdahl, the companys CTO.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

Still, it’s possible to do it yourself, says Senthil Kumar, CTO and head of AI at Slate Technologies, a data analytics provider for construction and related industries. This would require organizations to have specialized expertise in machine learning, natural language processing, and data engineering. “By

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10 key roles for AI success

CIO

More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. Data engineer.

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CIOs confront generative AI’s workplace X factor

CIO

Given the disruptive potential of generative AI, the stakes are high, as Reuven Cohen, strategic AI advisor to Baxter International, a Fortune 500 company, points out. The struggle is augmenting your workforce or replace it altogether,” he says. Gen AI is not a magic bullet,” she said at the summit.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. These tasks are usually split over a data engineer, a data scientist, and a machine learning engineer. ML engineer: Feedback loops.

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6 generative AI hazards IT leaders should avoid

CIO

Businesses are accountable for the consequences of their choices, and that includes deploying AI in inappropriate areas, says Andi Mann, global CTO and founder of Colorado-based consultancy Sageable. The customer will not let you off the hook for a data breach just because, ‘It was our AI’s fault.’”