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[ Sun, Feb 23rd 2025 ]: manilatimes
DOST launches first science-travel show on TV
[ Sun, Feb 23rd 2025 ]: MSN
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[ Sun, Feb 23rd 2025 ]: businessday
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[ Sat, Feb 22nd 2025 ]: ScienceAlert
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[ Sat, Feb 22nd 2025 ]: Forbes
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[ Sat, Feb 22nd 2025 ]: Wired
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[ Sat, Feb 22nd 2025 ]: businessday
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[ Sat, Feb 22nd 2025 ]: ABC
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[ Sat, Feb 22nd 2025 ]: MSN
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[ Sat, Feb 22nd 2025 ]: valleycentral
STEM hosts its 10th annual South Texas STEM Summit
[ Sat, Feb 22nd 2025 ]: President
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[ Fri, Feb 21st 2025 ]: YourTango
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[ Fri, Feb 21st 2025 ]: Hoodline
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[ Fri, Feb 21st 2025 ]: ArtNews
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[ Fri, Feb 21st 2025 ]: canton
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[ Fri, Feb 21st 2025 ]: CNN
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[ Fri, Feb 21st 2025 ]: Wired
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[ Fri, Feb 21st 2025 ]: CNET
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[ Fri, Feb 21st 2025 ]: Reuters
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[ Fri, Feb 21st 2025 ]: Forbes
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[ Fri, Feb 21st 2025 ]: cnbctv18
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[ Thu, Feb 20th 2025 ]: Reuters
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[ Thu, Feb 20th 2025 ]: BBC
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[ Thu, Feb 20th 2025 ]: NextBigFuture
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[ Thu, Feb 20th 2025 ]: Yahoo
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[ Thu, Feb 20th 2025 ]: Politico
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[ Thu, Feb 20th 2025 ]: manilatimes
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[ Thu, Feb 20th 2025 ]: MSN
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[ Thu, Feb 20th 2025 ]: Nature
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[ Thu, Feb 20th 2025 ]: Forbes
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[ Thu, Feb 20th 2025 ]: Wired
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Why the Future of Data Science Lies in Generative AI Skills

Is all my study and knowledge in data science still valid in this new era of generative AI, especially with the rise of LLMs? It's a question many of us might be asking as we watch these powerful mode
The article from MSN discusses the evolving role of data science in the era of generative AI. It highlights how generative AI, which can produce new content like text, images, and code, is becoming integral to data science. The piece explains that while traditional data science skills like statistical analysis and machine learning are still crucial, the ability to work with generative models is increasingly important. This shift is driven by the need for more creative and automated solutions in data handling, analysis, and visualization. The article suggests that future data scientists will need to master generative AI techniques to stay relevant, as these skills enable the creation of synthetic data, enhance data augmentation, and improve predictive modeling. It also touches on the ethical considerations and the potential for bias in AI-generated content, emphasizing the need for responsible AI development.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/artificial-intelligence/why-the-future-of-data-science-lies-in-generative-ai-skills/ar-AA1zwvln ]