Almost Timely News: 🗞️ Building a Synthetic Dataset with Generative AI

In this week's issue, we'll dive into the world of synthetic datasets! You'll learn why you'd want to create them, how generative AI transforms your data, and the different use cases for this powerful technique. Whether you're battling missing data, striving for privacy compliance, or yearning for better model performance, you'll gain the knowledge to boost your analytics with synthetic data. Tune in to unlock the secrets of synthetic datasets!

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[JesperAndersen]

Very interesting, Chris, thank you. A bit technical - for instance you talk about 'bins' at some point. I was able to more or less guess what you were talking about, but I wasn't 100% sure.

The case need I have regarding synthetic data is a little different than the scenarios you outline here. I don't need to build or train a model, but I do trainings for people in the PR industry and would like to be able to teach them how to use A.I. to do Advanced Data Analysis of e.g. a spreadsheet with data from their own media monitoring.
Unfortunately, media monitoring data is copyrighted and not easily available for teaching or (people) training purposes. So, my dream is that I would be able to somehow generate a synthetic data set examplifying e.g. 2000 mentions in the media - with media type, date of publication, tonality, topic etc. - and then use that synthetic data set as 'training wheels' for my workshop participants to practice their own analytics skills on. 😉😉

Does that make sense?