InfoQ AI, ML and Data Engineering Trends Report 2022
The InfoQ Podcast
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Monotization of Unstructured Data
With these models, all you need to start a new start up is creativity on how to use them. I think it also correlates very well with another nd that we see, of tools that really focus on the data with em l rather than focusing on the models themselves. Data engineers and machine learning specialists spend about 60 to 80 % of the times with data preparation. And i think companies are figuring out how to monotice, you know, so just giving away the data, but still monotizing it something else, right? Mame, if you're a cloud provider, exactly your exactly what i mean.
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