Alteryx surveyed 300 data leaders across four countries — Australia, the U.K., the U.S. and Canada — about their use of generative artificial intelligence, qualms around its use and more.
Code development, content creation and analytics are the top generative AI use cases. However, many enterprise users don't trust gen AI to be private. |
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This quick glossary from TechRepublic Premium explains the terminology behind the most common cybersecurity countermeasures. |
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| AWS, Cisco, Apple and others are deploying a variety of tactics to achieve lower carbon footprints, with everything from lower-energy coding to AI applied to power sources. |
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| Artificial intelligence has the ability perform tasks that typically require human intelligence. Generative AI, in contrast, is a specific form of AI that is designed to generate content. |
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| Explore the programming language Julia, which is suited to machine learning applications, and other details of the most popular languages today. |
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Written by Kirstie McDermott Generative AI has the potential to automate between 60% to 70% of the work that most of us engage in every day. But for many knowledge workers, generative AI tools are likely to help take back time spent on administrative tasks, freeing up their days for more creative or deep work. Read more! |
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Data from the human vs. machine challenge could provide a framework for government and enterprise policies around generative AI. |
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