Here’s How We Turn Data Into Value

We love helping our customers. It’s what drives us as a company, and when we have an opportunity to share that work? Even better.

Recently, our data scientist, Dicy Adams, spoke to Built In Austin, about identifying problems with our products, and how we re-evaluate ourselves and our data to create more value for our wonderful customers.

“We knew that our end users didn’t love the product because the machine learning model was just a black box. We also knew that we had the right data streams to create histogram distributions of interesting features quickly and easily,” Adams stated in the article.

Read more about Adam’s insights here, and learn more about our machine-learning and data-fueled products on our products page.