We have grown used to reading and hearing about the enormous potential of artificial intelligence (AI). The rapidly evolving nature of the technology makes it difficult to pinpoint specific shifts in the relationship between AI and open data. But one emerging discussion that Link Digital is keen to highlight concerns the proposition that the intersection between the two involves far more than open data’s role as raw material to train and operate large machine learning models, the focus of so much of the commentary to date.
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Finding what you need in the landscape of data can sometimes feel like a daunting task. But what if there was a way to make all that data more easily discoverable and usable? That’s where Data Catalogue Vocabulary (DCAT) is essential. This standard, recommended by the World Wide Web Consortium (W3C), aims to bring order to the chaos by providing a common language for describing datasets.
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by Alex Gostev
Open data has major benefits for AI. But it is not enough for that data to be open and shareable, it also needs to be quality data.
by Andrew Nette