How to fight data bias with smart hires

How to fight data bias with smart hires

Algorithms are only as good as the data that feeds them. Data scientists are deeply familiar with the impact of GIGO (garbage in, garbage out), where messy inaccuracies, fragmented data, and the like result in poor analysis. But fairness, inclusion, and bias in the...
3 new efficiency hacks your data team will love

3 new efficiency hacks your data team will love

I know this post’s title isn’t an exaggeration because at data.world, we use our own product. Extensively. And when these three features were debuted one Friday afternoon, they were literally given standing ovations. In case you missed them, here are three of our...
Find your data’s perfect match

Find your data’s perfect match

“Oh, that’s not how your team tracks it?” Warning: This scenario may hit a bit too close to home for those of you who are knee-deep in data work. Ever pulled up multiple files supposedly containing the same fields only to discover they were actually quite...