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:
1️⃣ What Large Language Models Can Do Well Now, and What They Can’t by Joab Jackson published in The New Stack
2️⃣ Transforming Data Quality with Machine Learning by Keith D. Foote published in Dataversity
3️⃣ A Data Scientist’s Essential Guide to Exploratory Data Analysis by Miriam Santos published in KDnuggets
4️⃣ How diverse teams lead to better data by Maria Korolov published in CIO
5️⃣ 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 👇