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10 most in-demand generative AI skills

CIO

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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What is Oracle’s generative AI strategy?

CIO

The service also comes with Nvidia’s foundation models, such as BioNeMo and Nvidia Picasso, along with AI training and governance frameworks. Rival cloud service providers such as Microsoft and Google have also partnered with Nvidia to take advantage of its DGX Cloud — a service based on the technology that also powers OpenAI’s ChatGPT.

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The early returns on gen AI for software development

CIO

Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers. For example, this could be an employee who functions on the product development team, but whose core expertise is ChatGPT or Copilot, he says.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

ChatGPT and Stable Diffusion are two popular examples of how AI is becoming increasingly mainstream. With organizations looking for increasingly sophisticated ways to employ AI capabilities, data becomes the foundational energy source for such technology. report they have established a data culture 26.5%

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

CIO

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. As technology continues to advance at a rapid pace, the demand for qualified individuals has soared,” Chan says. The net result?

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6 generative AI hazards IT leaders should avoid

CIO

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions.