When it comes to virtual events, two things are universally true. One, we’ve seen it all this year: the awkward, the intimate and everything in between.
“External data sources are helping businesses personalize marketing offers, improve HR decisions, gain new revenue streams by launching new products or services, enhance risk visibility and
It’s getting crowded in fintech. That’s not a new revelation or anything, but it’s a trend that’s had a lot of serious consequences — especially as
Money never sleeps, dataflows never slow, and a data leader’s job is never done. You aren’t just thinking about how to make sense of the data
One of the best ways to improve your production machine learning models is to improve the data that your model is trained on. Simple, right? Not
The whole idea behind interpretable and explainable ML is to avoid the black box effect.
The whole idea behind interpretable and explainable ML is to avoid the black box effect.
While there is some room for error while integrating models into production environments, there is also a very good probability that these issues will eventually lead to disaster. And that’s exactly why we have created this pre-model deployment checklist.
Better features, better data
