Happy Friday everyone!

We are here with the newest issue of the Data News Digest ️

Each week we continue to bring you data news across different platforms, to keep you up to date with the latest updates, events, trends, and more from the world of data.

This week on the news:

What Large Language Models Can Do Well Now, and What They Can’t by Joab Jackson published in The New Stack

 Transforming Data Quality with Machine Learning by Keith D. Foote published in Dataversity

 A Data Scientist’s Essential Guide to Exploratory Data Analysis by Miriam Santos published in KDnuggets

How diverse teams lead to better data by Maria Korolov published in CIO 

 Better Data Quality Means a Better Future for Public Health by Gregg Church published in MedCityNews

Any news you’d like to share? Your take on the latest news? What would you like to see more of? Post it in the comments below